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Litonius K, Kulla N, Falkenbach P, Kristiansson K, Tarkiainen EK, Ukkola-Vuoti L, Cajanus K, Korhonen M, Khan S, Sistonen J, Orpana A, Lindstedt M, Nyrönen T, Perola M, Turpeinen M, Kytö V, Tornio A, Niemi M. Value of Pharmacogenetic Testing Assessed with Real-World Drug Utilization and Genotype Data. Clin Pharmacol Ther 2024. [PMID: 39365028 DOI: 10.1002/cpt.3458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 09/03/2024] [Indexed: 10/05/2024]
Abstract
Implementation of pharmacogenetic testing in clinical care has been slow and with few exceptions is hindered by the lack of real-world evidence on how to best target testing. In this retrospective register-based study, we analyzed a nationwide cohort of 1,425,000 patients discharged from internal medicine or surgical wards and a cohort of 2,178 university hospital patients for purchases and prescriptions of pharmacogenetically actionable drugs. Pharmacogenetic variants were obtained from whole genome genotype data for a subset (n = 930) of the university hospital patients. We investigated factors associated with receiving pharmacogenetically actionable drugs and developed a literature-based cost-benefit model for pre-emptive pharmacogenetic panel testing. In a 2-year follow-up, 60.4% of the patients in the nationwide cohort purchased at least one pharmacogenetically actionable drug, most commonly ibuprofen (25.0%) and codeine (19.4%). Of the genotyped subset, 98.8% carried at least one actionable pharmacogenetic genotype and 23.3% had at least one actionable gene-drug pair. Patients suffering from musculoskeletal or cardiovascular diseases were more prone to receive pharmacogenetically actionable drugs during inpatient episode. The cost-benefit model included frequently dispensed drugs in the university hospital cohort, comprising ondansetron (19.4%), simvastatin (7.4%), clopidogrel (5.0%), warfarin (5.1%), (es)citalopram (5.3%), and azathioprine (0.5%). For untargeted pre-emptive pharmacogenetic testing of all university hospital patients, the model indicated saving €17.49 in direct healthcare system costs per patient in 2 years without accounting for the cost of the test itself. Therefore, it might be reasonable to target pre-emptive pharmacogenetic testing to patient groups most likely to receive pharmacogenetically actionable drugs.
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Affiliation(s)
- Kaisa Litonius
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Noora Kulla
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Petra Falkenbach
- Finnish Coordinating Center for Health Technology Assessment, Oulu University Hospital, University of Oulu, Oulu, Finland
| | | | - E Katriina Tarkiainen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Kristiina Cajanus
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Mari Korhonen
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Sofia Khan
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Johanna Sistonen
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Arto Orpana
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | | | | | - Markus Perola
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Clinical and Molecular Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Miia Turpeinen
- Finnish Coordinating Center for Health Technology Assessment, Oulu University Hospital, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Ville Kytö
- Heart Center, Turku University Hospital, University of Turku, Turku, Finland
- Clinical Research Center, Turku University Hospital, Turku, Finland
| | - Aleksi Tornio
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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Hodel F, De Min MB, Thorball CW, Redin C, Vollenweider P, Girardin F, Fellay J. Prevalence of actionable pharmacogenetic variants and high-risk drug prescriptions: A Swiss hospital-based cohort study. Clin Transl Sci 2024; 17:e70009. [PMID: 39263940 PMCID: PMC11391267 DOI: 10.1111/cts.70009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 08/06/2024] [Indexed: 09/13/2024] Open
Abstract
Drug type and dosing recommendation have been designed and optimized based on average response in the general population. Yet, there is significant inter-individual variability in drug response, which results in treatment inefficacy or adverse drug reactions in a subset of patients. This is partly due to genetic factors that typically affect drug metabolism or clearance. To verify the relevance and applicability of international pharmacogenetic guidelines in the Swiss population, we genotyped 1533 patients from a hospital-based biobank who received at least 30 different drugs, as documented in their electronic health record. We then assessed the prevalence of clinically actionable variants in 13 high-risk pharmacogenes. We compared the allele frequencies obtained in the hospital-based cohort with those of a Swiss population-based cohort of 4791 individuals. The prevalence of clinically actionable variants was comparable between the two cohorts, with most study participants (97.3%) carrying at least one actionable pharmacogenetic variant. We then assessed the frequency of high-risk prescriptions due to actionable gene-drug interactions and observed that 31% of patients in the hospital-based cohort were prescribed at least one drug for which they carried a high-risk variant, and for which international guidelines recommend a change of drug or dosage. Our analysis confirms the high prevalence of actionable pharmacogenetic variants in the Swiss population. It also shows that a substantial minority of patients are exposed to drugs for which they carry potentially problematic variants. Implementing a genetically informed approach to drug prescribing could have a positive impact on the quality of healthcare delivery.
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Affiliation(s)
- Flavia Hodel
- Precision Medicine Unit, Biomedical Data Science CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Maria B. De Min
- Precision Medicine Unit, Biomedical Data Science CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Christian Wandall Thorball
- Precision Medicine Unit, Biomedical Data Science CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Claire Redin
- Precision Medicine Unit, Biomedical Data Science CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Peter Vollenweider
- Division of Internal Medicine, Department of MedicineUniversity of Lausanne and University Hospital of LausanneLausanneSwitzerland
| | - François Girardin
- Division of Clinical Pharmacology, Department of Laboratory Medicine and PathologyLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jacques Fellay
- Precision Medicine Unit, Biomedical Data Science CenterLausanne University Hospital and University of LausanneLausanneSwitzerland
- Global Health Institute, School of Life Sciences, EPFLLausanneSwitzerland
- Swiss Institute of BioinformaticsLausanneSwitzerland
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3
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Hernandez S, Hindorff LA, Morales J, Ramos EM, Manolio TA. Patterns of pharmacogenetic variation in nine biogeographic groups. Clin Transl Sci 2024; 17:e70017. [PMID: 39206687 PMCID: PMC11358764 DOI: 10.1111/cts.70017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/02/2024] [Accepted: 08/10/2024] [Indexed: 09/04/2024] Open
Abstract
Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.
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Affiliation(s)
- Sophia Hernandez
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Lucia A. Hindorff
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Joannella Morales
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Erin M. Ramos
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Teri A. Manolio
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
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Okpete UE, Byeon H. Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment. World J Psychiatry 2024; 14:1148-1164. [PMID: 39165556 PMCID: PMC11331387 DOI: 10.5498/wjp.v14.i8.1148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/13/2024] [Accepted: 07/09/2024] [Indexed: 08/12/2024] Open
Abstract
Precision medicine is transforming psychiatric treatment by tailoring personalized healthcare interventions based on clinical, genetic, environmental, and lifestyle factors to optimize medication management. This study investigates how artificial intelligence (AI) and machine learning (ML) can address key challenges in integrating pharmacogenomics (PGx) into psychiatric care. In this integration, AI analyzes vast genomic datasets to identify genetic markers linked to psychiatric conditions. AI-driven models integrating genomic, clinical, and demographic data demonstrated high accuracy in predicting treatment outcomes for major depressive disorder and bipolar disorder. This study also examines the pressing challenges and provides strategic directions for integrating AI and ML in genomic psychiatry, highlighting the importance of ethical considerations and the need for personalized treatment. Effective implementation of AI-driven clinical decision support systems within electronic health records is crucial for translating PGx into routine psychiatric care. Future research should focus on developing enhanced AI-driven predictive models, privacy-preserving data exchange, and robust informatics systems to optimize patient outcomes and advance precision medicine in psychiatry.
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Affiliation(s)
- Uchenna Esther Okpete
- Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea
| | - Haewon Byeon
- Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea
- Department of Medical Big Data, Inje University, Gimhae 50834, South Korea
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Manson LEN, Nijenhuis M, Soree B, de Boer-Veger NJ, Buunk AM, Houwink EJF, Risselada A, Rongen GAPJM, van Schaik RHN, Swen JJ, Touw DJ, van Westrhenen R, Deneer VHM, Guchelaar HJ. Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction of CYP2C9, HLA-A and HLA-B with anti-epileptic drugs. Eur J Hum Genet 2024; 32:903-911. [PMID: 38570725 PMCID: PMC11291682 DOI: 10.1038/s41431-024-01572-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 01/30/2024] [Accepted: 02/19/2024] [Indexed: 04/05/2024] Open
Abstract
By developing evidence-based pharmacogenetics guidelines to optimize pharmacotherapy, the Dutch Pharmacogenetics Working Group (DPWG) aims to advance the implementation of pharmacogenetics (PGx). This guideline outlines the gene-drug interaction of CYP2C9 and HLA-B with phenytoin, HLA-A and HLA-B with carbamazepine and HLA-B with oxcarbazepine and lamotrigine. A systematic review was performed and pharmacotherapeutic recommendations were developed. For CYP2C9 intermediate and poor metabolisers, the DPWG recommends lowering the daily dose of phenytoin and adjust based on effect and serum concentration after 7-10 days. For HLA-B*15:02 carriers, the risk of severe cutaneous adverse events associated with phenytoin, carbamazepine, oxcarbazepine, and lamotrigine is strongly increased. For carbamazepine, this risk is also increased in HLA-B*15:11 and HLA-A*31:01 carriers. For HLA-B*15:02, HLA-B*15:11 and HLA-A*31:01 positive patients, the DPWG recommends choosing an alternative anti-epileptic drug. If not possible, it is recommended to advise the patient to report any rash while using carbamazepine, lamotrigine, oxcarbazepine or phenytoin immediately. Carbamazepine should not be used in an HLA-B*15:02 positive patient. DPWG considers CYP2C9 genotyping before the start of phenytoin "essential" for toxicity prevention. For patients with an ancestry in which the abovementioned HLA-alleles are prevalent, the DPWG considers HLA-B*15:02 genotyping before the start of carbamazepine, phenytoin, oxcarbazepine, and lamotrigine "beneficial", as well as genotyping for HLA-B*15:11 and HLA-A*31:01 before initiating carbamazepine.
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Affiliation(s)
- Lisanne E N Manson
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marga Nijenhuis
- Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands.
| | - Bianca Soree
- Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands
| | | | | | | | - Arne Risselada
- Department of Clinical Pharmacy, Wilhelmina Hospital, Assen, The Netherlands
| | - Gerard A P J M Rongen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Pharmacology and Toxicology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Daan J Touw
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Pharmaceutical Analysis, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Roos van Westrhenen
- Department of Psychiatry, Parnassia Group, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Vera H M Deneer
- Department of Clinical Pharmacy, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
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6
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Medwid S, Kim RB. Implementation of pharmacogenomics: Where are we now? Br J Clin Pharmacol 2024; 90:1763-1781. [PMID: 36366858 DOI: 10.1111/bcp.15591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/13/2022] Open
Abstract
Pharmacogenomics (PGx), examining the effect of genetic variation on interpatient variation in drug disposition and response, has been widely studied for several decades. However, as cost, as well as turnaround time associated with PGx testing, has significantly improved, the use of PGx in the clinical setting has been gaining momentum. Nevertheless, challenges have emerged in the broader clinical implementation of PGx. In this review, we will outline current models of PGx delivery and methodologies of evaluation, and discuss clinically relevant PGx tests and associated medications. Additionally, we will describe our approach for the broad implementation of pre-emptive DPYD genotyping in patients taking fluoropyrimidines in Ontario, Canada, as an example of clinically actionable PGx testing with sufficient clinical evidence of patient benefit that can become a new standard of patient care. We will highlight challenges associated with PGx testing, including a lack of diversity in PGx studies as well as general limitations that impact the broad adoption of PGx testing. Lastly, we examine the future of PGx, discussing new clinical targets, methodologies and analysis approaches.
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Affiliation(s)
- Samantha Medwid
- Department of Medicine, University of Western Ontario, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- London Health Sciences Centre, London, Ontario, Canada
| | - Richard B Kim
- Department of Medicine, University of Western Ontario, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- London Health Sciences Centre, London, Ontario, Canada
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Narayanan S, Yuile A, Venkatesh B, McKay M, Itchins M, Pavlakis N, Wheeler H, Gray L, Wei J, Miller S, Kirwin B, Molloy MP, Clarke S. Therapeutic drug monitoring of osimertinib in EGFR mutant non-small cell lung cancer by dried blood spot and plasma collection: A pilot study. Br J Clin Pharmacol 2024; 90:1942-1951. [PMID: 38706157 DOI: 10.1111/bcp.16070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 05/07/2024] Open
Abstract
AIMS Therapeutic drug monitoring (TDM) has led to significant improvements in individualized medical care, although its implementation in oncology has been limited to date. Tyrosine kinase inhibitors (TKIs) are a group of therapies for which TDM has been suggested. Osimertinib is one such therapy used in the treatment of epidermal growth factor receptor (EGFR) mutation-driven lung cancer. Herein, we describe a prospective pilot study involving 21 patients on osimertinib primarily as a preliminary evaluation of drug levels in a real-world setting. METHODS Concentrations of the drug and its primary metabolites were measured with a validated liquid chromatography-mass spectrometry (LC-MS) assay across serial timepoints. As part of this study, inter-individual variability by dose and ethnicity as well as intra-individual variability across timepoints are explored. Furthermore, we attempted to validate dried blood spot (DBS)-based quantitation as an accurate alternative to plasma quantitation. RESULTS Successful quantitation of osimertinib and primary metabolites was achieved for our subjects. Compound plasma levels were highly correlated to DBS levels. There was no significant difference in concentrations with ethnicity or dosing or intra-individual variability across timepoints. CONCLUSIONS As such, we demonstrate that TDM for osimertinib is practical for future trials. We also validated the use of DBS as an alternative to conventional quantitation for exploration of TDM for osimertinib in larger trials and for other targeted therapies.
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Affiliation(s)
- Sathya Narayanan
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- Macquarie University Clinical Trials Unit, Macquarie University, Sydney, NSW, Australia
| | - Alexander Yuile
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- School of Medicine, University of Sydney, Sydney, NSW, Australia
| | - Bharat Venkatesh
- Kolling Institute of Medical Research, Sydney, NSW, Australia
- School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Matthew McKay
- Kolling Institute of Medical Research, Sydney, NSW, Australia
- School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Malinda Itchins
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- School of Medicine, University of Sydney, Sydney, NSW, Australia
- Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Nick Pavlakis
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- School of Medicine, University of Sydney, Sydney, NSW, Australia
| | - Helen Wheeler
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- School of Medicine, University of Sydney, Sydney, NSW, Australia
| | - Lauren Gray
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Joe Wei
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Samuel Miller
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Brendan Kirwin
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Mark P Molloy
- Kolling Institute of Medical Research, Sydney, NSW, Australia
- School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Stephen Clarke
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia
- School of Medicine, University of Sydney, Sydney, NSW, Australia
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Cheng J, Li H, Li Y, Li X, Wang J, Huang X, Cui X. Toxic epidermal necrolysis caused by phenobarbital: a case report and literature review. Front Pharmacol 2024; 15:1433506. [PMID: 39148552 PMCID: PMC11324585 DOI: 10.3389/fphar.2024.1433506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 07/22/2024] [Indexed: 08/17/2024] Open
Abstract
Background Toxic epidermal necrolysis (TEN) and Stevens-Johnson syndrome (SJS) are rare, life-threatening immunologic reactions. Previous relevant literature has provided limited information regarding this disease's genetic susceptibility and management principles. Objectives This study aimed to describe a phenobarbital-induced TEN case report with HLA-B*15:02 and HLA-B*58:01 negative, CYP2C19*1/*2. In addition, we revised the existing literature on phenobarbital-induced SJS/TEN to explore its clinical characteristics. Methods We describe a woman undergoing treatment with Phenobarbital for status epilepticus who developed classic cutaneous findings of TEN. A systematic search was conducted in the PubMed, Medline, WanFang, and CNKI databases from 1995 to 2023. The search terms used were "Stevens-Johnson Syndrome," "Toxic Epidermal Necrolysis," and "Phenobarbital." Results We report a case of TEN resulting from phenobarbital; it tested negative for the HLA-B*15:02 and HLA-B*58:01 allele and CYP2C19*1/*2 intermediate metabolism. Supportive treatment with steroids and antihistamines resulted in complete resolution of the skin lesions and improvement in clinical symptoms after 14 days. Physicians and clinical pharmacists should be aware of these potential phenobarbital-related adverse events and closely monitor patients with first-time use of phenobarbital. Among 19 cases were identified in the literature, with 11 (57.9%) cases of SJS, 6 (31.6%) cases of TEN, and 2 (7.2%) cases of SJS-TEN/DRESS overlap. A total of 5 (26.3%) did not survive, of which 4 (21.1%) were under 12 years old and 1 (5.3%) was over 12 years old. Conclusion Phenobarbital-induced SJS/TEN may still occur in patients who test negative for HLA-B*15:02 and HLA-B*58:01, CYP2C19*1/*2. Most cutaneous adverse events occur early in the course of Phenobarbital therapy and should be closely monitored early in the course of treatment. In addition, Phenobarbital should be used with caution in patients with a history of asthma and allergy to antipyretics and analgesics.
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Affiliation(s)
- Jie Cheng
- Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
- Department of Clinical Pharmacy Laboratory, The First Affiliated Hospital of Baotou Medical College, Baotou, China
| | - Hui Li
- Department of Neurology, Fei Xian People's Hospital, Linyi, China
| | - Yan Li
- Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
| | - Xiao Li
- Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
| | - Jianjun Wang
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Neurosurgery, Jinan, China
| | - Xin Huang
- Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
| | - XueYan Cui
- Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
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9
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Molatefi R, Talebi S, Samei A, Roshanravan N, Manshouri S, Hashemi B, Ghobadi Dana V, Mosharkesh E, Bahar MA, Khajoei S, Seif F. Clues of HLAs, metabolic SNPs, and epigenetic factors in T cell-mediated drug hypersensitivity reactions. Heliyon 2024; 10:e33976. [PMID: 39100437 PMCID: PMC11296025 DOI: 10.1016/j.heliyon.2024.e33976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 07/01/2024] [Accepted: 07/01/2024] [Indexed: 08/06/2024] Open
Abstract
Drug hypersensitivities are common reactions due to immunologic responses. They are of utmost importance because they may generate severe and fatal outcomes. Some drugs may cause Adverse Drug Reactions (ADRs), such as drug hypersensitivity reactions (DHRs), which can occur due to the interaction of intact drugs or their metabolites with Human Leukocyte Antigens (HLAs) and T cell receptors (TCRs). This type develops over a period of 24-72 h after exposure and is classified as type IV of DHRs. Acute generalized exanthematic pustulosis (AGEP), Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) and drug reaction with eosinophilia and systemic symptoms (DRESS) are types of Severe Cutaneous Adverse Reactions (SCARs). In this review, we aim to discuss the types of ADRs, the mechanisms involved in their development, and the role of immunogenetic factors, such as HLAs in type IV DHRs, single-nucleotide polymorphisms (SNPs), and some epigenetic modifications, e.g., DNA/histone methylation in a variety of genes and their promoters which may predispose subjects to DHRs. In conclusion, development of promising novel in vitro or in vivo diagnostic and prognostic markers is essential for identifying susceptible subjects or providing treatment protocols to work up patients with drug allergies as personalized medicine.
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Affiliation(s)
- Rasol Molatefi
- Cancer Immunology and Immunotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Sedighe Talebi
- Department of Traditional Medicine, School of Persian Medicine, Shahed University, Tehran, Iran
| | - Azam Samei
- Department of Laboratory Sciences, School of Allied Medical Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Neda Roshanravan
- Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Shirin Manshouri
- Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Baran Hashemi
- Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Vahid Ghobadi Dana
- Department of Immunology and Allergy, Academic Center for Education, Culture, and Research (ACECR), Tehran, Iran
| | - Erfan Mosharkesh
- Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
| | - Mohammad Ali Bahar
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sholeh Khajoei
- Clinical Research Development Center, Imam Khomeini Hospital, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Farhad Seif
- Department of Immunology and Allergy, Academic Center for Education, Culture, and Research (ACECR), Tehran, Iran
- Department of Photodynamic Therapy, Medical Laser Research Center, Academic Center for Education, Culture, and Research (ACECR), Tehran, Iran
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10
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Tham KM, Yek JJL, Liu CWY. Unraveling the genetic link: an umbrella review on HLA-B*15:02 and antiepileptic drug-induced Stevens-Johnson syndrome/toxic epidermal necrolysis. Pharmacogenet Genomics 2024; 34:154-165. [PMID: 38527170 DOI: 10.1097/fpc.0000000000000531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
PURPOSE This umbrella review was conducted to summarize the association between HLA*1502 allele with antiepileptic induced Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). METHODS Pubmed, Scopus and EMBASE were searched for eligible reviews in May 2023. Two authors independently screened titles and abstracts and assessed full-text reviews for eligibility. The quality of meta-analyses and case-control studies was appraised with Assessing the Methodological Quality of Systematic Reviews 2 and Newcastle-Ottawa Scale, respectively. Narrative summaries of each antiepileptic drug were analyzed. Preestablished protocol was registered on the International Prospective Register of Systematic Reviews Registry(ID: CRD42023403957). RESULTS Included studies are systematic reviews, meta-analyses and case-control studies evaluating the association of HLA-B*1502 allele with the following antiepileptics. Seven meta-analyses for carbamazepine, three meta-analyses for lamotrigine (LTG), three case-control studies for oxcarbazepine, nine case-control studies for phenytoin and four case-control studies for phenobarbitone were included. The findings of this umbrella review suggest that there is a strong association between HLA-B-1502 with SJS/TEN for carbamazepine and oxcarbazepine and a milder association for lamotrigine and phenytoin. CONCLUSION In summary, although HLA-B*1502 is less likely to be associated with phenytoin or lamotrigine-induced SJS/TEN compared to carbamazepine-induced SJS/TEN, it is a significant risk factor that if carefully screened, could potentially reduce the development of SJS/TEN. In view of potential morbidity and mortality, HLA-B*1502 testing may be beneficial in patients who are initiating lamotrigine/phenytoin therapy. However, further studies are required to examine the association of other alleles with the development of SJS/TEN and to explore the possibility of genome-wide association studies before initiation of treatment.
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Affiliation(s)
- Kar Mun Tham
- Department of Pain Medicine, Singapore General Hospital, Singapore
| | | | - Christopher Wei Yang Liu
- Department of Pain Medicine, Singapore General Hospital, Singapore
- Anesthesiology and Perioperative Sciences Academic Clinical Program, Duke-NUS Graduate Medical School
- Napier Pain Specialists, Gleneagles Hospital, Singapore
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11
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Pallardy M, Bechara R, Whritenour J, Mitchell-Ryan S, Herzyk D, Lebrec H, Merk H, Gourley I, Komocsar WJ, Piccotti JR, Balazs M, Sharma A, Walker DB, Weinstock D. Drug hypersensitivity reactions: review of the state of the science for prediction and diagnosis. Toxicol Sci 2024; 200:11-30. [PMID: 38588579 PMCID: PMC11199923 DOI: 10.1093/toxsci/kfae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024] Open
Abstract
Drug hypersensitivity reactions (DHRs) are a type of adverse drug reaction that can occur with different classes of drugs and affect multiple organ systems and patient populations. DHRs can be classified as allergic or non-allergic based on the cellular mechanisms involved. Whereas nonallergic reactions rely mainly on the innate immune system, allergic reactions involve the generation of an adaptive immune response. Consequently, drug allergies are DHRs for which an immunological mechanism, with antibody and/or T cell, is demonstrated. Despite decades of research, methods to predict the potential for a new chemical entity to cause DHRs or to correctly attribute DHRs to a specific mechanism and a specific molecule are not well-established. This review will focus on allergic reactions induced by systemically administered low-molecular weight drugs with an emphasis on drug- and patient-specific factors that could influence the development of DHRs. Strategies for predicting and diagnosing DHRs, including potential tools based on the current state of the science, will also be discussed.
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Affiliation(s)
- Marc Pallardy
- Université Paris-Saclay, INSERM, Inflammation Microbiome Immunosurveillance, Orsay, 91400, France
| | - Rami Bechara
- Université Paris-Saclay, INSERM, CEA, Center for Research in Immunology of Viral, Autoimmune, Hematological and Bacterial Diseases (IMVA-HB), Le Kremlin Bicêtre, 94270, France
| | - Jessica Whritenour
- Pfizer Worldwide Research, Development and Medical, Groton, Connecticut 06340, USA
| | - Shermaine Mitchell-Ryan
- The Health and Environmental Science Institute, Immunosafety Technical Committee, Washington, District of Columbia 20005, USA
| | - Danuta Herzyk
- Merck & Co., Inc, West Point, Pennsylvania 19486, USA
| | - Herve Lebrec
- Amgen Inc., Translational Safety and Bioanalytical Sciences, South San Francisco, California 94080, USA
| | - Hans Merk
- Department of Dermatology and Allergology, RWTH Aachen University, Aachen, 52062, Germany
| | - Ian Gourley
- Janssen Research & Development, LLC, Immunology Clinical Development, Spring House, Pennsylvania 19002, USA
| | - Wendy J Komocsar
- Immunology Business Unit, Eli Lilly and Company, Indianapolis, Indiana 46225, USA
| | | | - Mercedesz Balazs
- Genentech, Biochemical and Cellular Pharmacology, South San Francisco, California 94080, USA
| | - Amy Sharma
- Pfizer, Drug Safety Research & Development, New York 10017, USA
| | - Dana B Walker
- Novartis Institute for Biomedical Research, Preclinical Safety-Translational Immunology and Clinical Pathology, Cambridge, Massachusetts 02139, USA
| | - Daniel Weinstock
- Janssen Research & Development, LLC, Preclinical Sciences Translational Safety, Spring House, Pennsylvania 19002, USA
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12
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Jaruthamsophon K, Sangmanee P, Plong‐on O, Charalsawadi C, Sukasem C, Hnoonual A. Molecular identification of HLA-B75 serotype markers by qPCR: A more inclusive pharmacogenetic approach before carbamazepine prescription. Clin Transl Sci 2024; 17:e13867. [PMID: 38894615 PMCID: PMC11187875 DOI: 10.1111/cts.13867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 06/21/2024] Open
Abstract
Genetic screening for HLA-B*15:02 before prescribing carbamazepine is standard practice to prevent severe cutaneous adverse reactions in Asian populations. These reactions are associated not only with this allele but also with closely related HLA-B75 serotype markers-HLA-B*15:11 and HLA-B*15:21-which are prevalent in several Asian countries. However, a reliable method for identifying HLA-B75 serotype markers is still not available. We developed an in-house quantitative PCR (qPCR) for HLA-B75 screening and validated it using 303 anonymized DNA samples. Due to inadequate quality control, the qPCR results for 11 samples were excluded. We analyzed the sensitivity and specificity of the test using 93 HLA-typed samples. The concordance between the qPCR method and an established screening method was assessed using 199 HLA-screened samples tested for HLA-B*15:02 at Songklanagarind Hospital, Songkhla, Thailand. All discordant results were confirmed by Sanger sequencing. The qPCR method demonstrated a sensitivity of 100% (95% confidence interval = 83.16%-100.00%) and a specificity of 100% (95% confidence interval = 95.07%-100.00%). Concordance analysis revealed a 96.5% agreement between methods (192/199; 44 positive and 148 negative results). All discordant results were due to HLA-B75 markers not being HLA-B*15:02 (two samples with HLA-B*15:11 and five samples with HLA-B*15:21). In conclusion, this qPCR method could be useful for identifying HLA-B75 carriers at risk of carbamazepine-induced reactions in Asian populations where carriers of HLA-B*15:02, HLA-B*15:11, or HLA-B*15:21 are common.
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Affiliation(s)
- Kanoot Jaruthamsophon
- Human Genetic Unit, Department of Pathology, Faculty of MedicinePrince of Songkla UniversitySongkhlaThailand
| | - Pornsiri Sangmanee
- Human Genetic Unit, Department of Pathology, Faculty of MedicinePrince of Songkla UniversitySongkhlaThailand
| | - Oradawan Plong‐on
- Human Genetic Unit, Department of Pathology, Faculty of MedicinePrince of Songkla UniversitySongkhlaThailand
| | - Chariyawan Charalsawadi
- Human Genetic Unit, Department of Pathology, Faculty of MedicinePrince of Songkla UniversitySongkhlaThailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi HospitalMahidol UniversityBangkokThailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC)Ramathibodi HospitalBangkokThailand
- Pharmacogenomics ClinicBumrungrad Genomic Medicine Institute, Bumrungrad International HospitalBangkokThailand
- Faculty of Pharmaceutical SciencesBurapha UniversitySaensuk, Mueang, ChonburiThailand
- Department of Pharmacology and Therapeutics, MRC Centre for Drug Safety ScienceInstitute of Systems, Molecular, and Integrative Biology, University of LiverpoolLiverpoolUK
| | - Areerat Hnoonual
- Human Genetic Unit, Department of Pathology, Faculty of MedicinePrince of Songkla UniversitySongkhlaThailand
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13
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Patel JN, Morris SA, Torres R, Rhead B, Vlangos C, Mueller DJ, Brown LC, Lefkofsky H, Ali M, De La Vega FM, Barnes KC, Zoghbi A, Stanton JD, Badgeley MA. Pharmacogenomic insights in psychiatric care: uncovering novel actionability, allele-specific CYP2D6 copy number variation, and phenoconversion in 15,000 patients. Mol Psychiatry 2024:10.1038/s41380-024-02588-4. [PMID: 38783055 DOI: 10.1038/s41380-024-02588-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 04/19/2024] [Accepted: 04/30/2024] [Indexed: 05/25/2024]
Abstract
Pharmacogenomic testing has emerged as an aid in clinical decision making for psychiatric providers, but more data is needed regarding its utility in clinical practice and potential impact on patient care. In this cross-sectional study, we determined the real-world prevalence of pharmacogenomic actionability in patients receiving psychiatric care. Potential actionability was based on the prevalence of CYP2C19 and CYP2D6 phenotypes, including CYP2D6 allele-specific copy number variations (CNVs). Combined actionability additionally incorporated CYP2D6 phenoconversion and the novel CYP2C-TG haplotype in patients with available medication data. Across 15,000 patients receiving clinical pharmacogenomic testing, 65% had potentially actionable CYP2D6 and CYP2C19 phenotypes, and phenotype assignment was impacted by CYP2D6 allele-specific CNVs in 2% of all patients. Of 4114 patients with medication data, 42% had CYP2D6 phenoconversion from drug interactions and 20% carried a novel CYP2C haplotype potentially altering actionability. A total of 87% had some form of potential actionability from genetic findings and/or phenoconversion. Genetic variation detected via next-generation sequencing led to phenotype reassignment in 22% of individuals overall (2% in CYP2D6 and 20% in CYP2C19). Ultimately, pharmacogenomic testing using next-generation sequencing identified potential actionability in most patients receiving psychiatric care. Early pharmacogenomic testing may provide actionable insights to aid clinicians in drug prescribing to optimize psychiatric care.
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Affiliation(s)
- Jai N Patel
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Sarah A Morris
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | | | | | | | - Daniel J Mueller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | | | | | - Anthony Zoghbi
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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14
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Wei BM, Fox LP, Kaffenberger BH, Korman AM, Micheletti RG, Mostaghimi A, Noe MH, Rosenbach M, Shinkai K, Kwah JH, Phillips EJ, Bolognia JL, Damsky W, Nelson CA. Drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms. Part I. Epidemiology, pathogenesis, clinicopathological features, and prognosis. J Am Acad Dermatol 2024; 90:885-908. [PMID: 37516359 DOI: 10.1016/j.jaad.2023.02.072] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/11/2023] [Accepted: 02/26/2023] [Indexed: 07/31/2023]
Abstract
Drug-induced hypersensitivity syndrome (DiHS), also known as drug reaction with eosinophilia and systemic symptoms (DRESS), is a severe cutaneous adverse reaction (SCAR) characterized by an exanthem, fever, and hematologic and visceral organ involvement. Anticonvulsants, antibiotics, and allopurinol are the most common triggers. The pathogenesis involves a complex interplay between drugs, viruses, and the immune system primarily mediated by T-cells. DiHS/DRESS typically presents with a morbilliform eruption 2-6 weeks after drug exposure, and is associated with significant morbidity, mortality, and risk of relapse. Long-term sequelae primarily relate to organ dysfunction and autoimmune diseases. Part I of this continuing medical education activity on DiHS/DRESS provides an update on epidemiology, novel insights into pathogenesis, and a description of clinicopathological features and prognosis.
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Affiliation(s)
- Brian M Wei
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Lindy P Fox
- Department of Dermatology, University of California, San Francisco, California
| | | | - Abraham M Korman
- Department of Dermatology, The Ohio State University, Columbus, Ohio
| | - Robert G Micheletti
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Arash Mostaghimi
- Department of Dermatology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Megan H Noe
- Department of Dermatology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Misha Rosenbach
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kanade Shinkai
- Department of Dermatology, University of California, San Francisco, California
| | - Jason H Kwah
- Department of Medicine, Section of Rheumatology, Allergy and Immunology, Yale School of Medicine, New Haven, Connecticut
| | - Elizabeth J Phillips
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jean L Bolognia
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - William Damsky
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut; Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Caroline A Nelson
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut.
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15
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Besterman AD. A genetics-guided approach to the clinical management of schizophrenia. Schizophr Res 2024; 267:462-469. [PMID: 37813777 DOI: 10.1016/j.schres.2023.09.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/11/2023]
Abstract
Schizophrenia is a highly heritable, severe mental illness characterized by hallucinations, delusions, social withdrawal, and cognitive dysfunction present in ∼1% of populations across cultures. There have been recent major advancements in our understanding of the genetic architecture of schizophrenia. Both rare, highly penetrant genetic variants as well as common, low-penetrant genetic variants can predispose individuals to schizophrenia and can impact the way people metabolize psychoactive medications used to treat schizophrenia. However, the impact of these findings on the clinical management of schizophrenia remains limited. This review highlights the few places where genetics currently informs schizophrenia management strategies, discusses major limitations, and reviews promising areas of genetics research that are most likely to impact future schizophrenia care. Specifically, I focuss on psychiatric genetic counseling, genetic testing strategies, pharmacogenetics, polygenic risk, and genetics-guided treatment. Lastly, I emphasize important ethical considerations in the clinical use of genetics for schizophrenia management, including the exacerbation of healthcare inequalities and unintended consequences of new genetic technologies.
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Affiliation(s)
- Aaron D Besterman
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA; Rady Children's Hospital San Diego, Division of Behavioral Health Services, San Diego, CA, USA; Rady Children's Institute for Genomic Medicine, San Diego, CA, USA.
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16
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Paliwal A, Jain S, Kumar S, Wal P, Khandai M, Khandige PS, Sadananda V, Anwer MK, Gulati M, Behl T, Srivastava S. Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine. Expert Opin Drug Metab Toxicol 2024; 20:181-195. [PMID: 38480460 DOI: 10.1080/17425255.2024.2330666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hampers accurate prediction of drug candidates' pharmacokinetic properties. AREAS COVERED The study highlights current developments in human pharmacokinetic prediction, talks about attempts to apply synthetic approaches for molecular design, and searches several databases, including Scopus, PubMed, Web of Science, and Google Scholar. The article stresses importance of rigorous analysis of machine learning model performance in assessing progress and explores molecular modeling (MM) techniques, descriptors, and mathematical approaches. Transitioning to clinical drug development, article highlights AI (Artificial Intelligence) based computer models optimizing trial design, patient selection, dosing strategies, and biomarker identification. In-silico models, including molecular interactomes and virtual patients, predict drug performance across diverse profiles, underlining the need to align model results with clinical studies for reliability. Specialized training for human specialists in navigating predictive models is deemed critical. Pharmacogenomics, integral to personalized medicine, utilizes predictive modeling to anticipate patient responses, contributing to more efficient healthcare system. Challenges in realizing potential of predictive modeling, including ethical considerations and data privacy concerns, are acknowledged. EXPERT OPINION AI models are crucial in drug development, optimizing trials, patient selection, dosing, and biomarker identification and hold promise for streamlining clinical investigations.
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Affiliation(s)
- Ajita Paliwal
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
| | - Smita Jain
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, India
| | - Sachin Kumar
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
| | - Pranay Wal
- Department of Pharmacy, Pranveer Singh Institute of Technology, Pharmacy, Kanpur, India
| | - Madhusmruti Khandai
- Department of Pharmacy, Royal College of Pharmacy and Health Sciences, Berahmpur, India
| | - Prasanna Shama Khandige
- NGSM Institute of Pharmaceutical Sciences, Department of Pharmacology, Manglauru, NITTE (Deemed to be University), Manglauru, India
| | - Vandana Sadananda
- AB Shetty Memorial Institute of Dental Sciences, Department of Conservative Dentistry and Endodontics, NITTE (Deemed to be University), Mangaluru, India
| | - Md Khalid Anwer
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Monica Gulati
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India
- ARCCIM, Health, University of Technology, Sydney, Ultimo, Australia
| | - Tapan Behl
- Amity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India
| | - Shriyansh Srivastava
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
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17
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Ma K, Cheng Z, Jiang H, Lin Z, Liu C, Liu X, Lu L, Lu Y, Tao W, Wang S, Yang X, Yi Q, Zhang X, Zhang Y, Liu Y. Expert Consensus on Ion Channel Drugs for Chronic Pain Treatment in China. J Pain Res 2024; 17:953-963. [PMID: 38476873 PMCID: PMC10929561 DOI: 10.2147/jpr.s445171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/22/2024] [Indexed: 03/14/2024] Open
Abstract
Ion channel drugs have been increasing used for chronic pain management with progress in the development of selective calcium channel modulators. Although ion channel drugs have been proven safe and effective in clinical practice, uncertainty remains regarding its use to treat chronic pain. To standardize the clinical practice of ion channel drug for the treatment of chronic pain, the National Health Commission Capacity Building and Continuing Education Center for Pain Diagnosis and Treatment Special Ability Training Project established an expert group to form an expert consensus on the use of ion channel drugs for the treatment of chronic pain after repeated discussions on existing medical evidence combined with the well clinical experience of experts. The consensus provided information on the mechanism of action of ion channel drugs and their recommendations, caution use, contraindications, and precautions for their use in special populations to support doctors in their clinical decision-making.
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Affiliation(s)
- Ke Ma
- Department of Algology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Zhixiang Cheng
- Department of Algology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Hao Jiang
- Department of Algology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China
| | - Zhangya Lin
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China
| | - Chuansheng Liu
- Department of Algology, The Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
| | - Xianguo Liu
- Pain Research Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Lijuan Lu
- Department of Pain Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Yan Lu
- Department of Algology, Xijing Hospital, The Fourth Military Medical University, Xian, People’s Republic of China
| | - Wei Tao
- Department of Neurosurgery, Shenzhen University General Hospital, Shenzhen, People’s Republic of China
| | - Suoliang Wang
- Department of Algology, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Xiaoqiu Yang
- Department of Algology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Qishan Yi
- Department of Algology, The Yibin First People’s Hospital Affiliated Chongqing Medical University, Yibin, People’s Republic of China
| | - Xiaomei Zhang
- Department of Algology, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China
| | - Ying Zhang
- Department of Algology. Hospital (T.C.M) Affiliated to Southwest Medical University, Luzhou, People’s Republic of China
| | - Yanqing Liu
- Department of Algology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
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18
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Marzouka NAD, Alnaqbi H, Al-Aamri A, Tay G, Alsafar H. Investigating the genetic makeup of the major histocompatibility complex (MHC) in the United Arab Emirates population through next-generation sequencing. Sci Rep 2024; 14:3392. [PMID: 38337023 PMCID: PMC10858242 DOI: 10.1038/s41598-024-53986-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/07/2024] [Indexed: 02/12/2024] Open
Abstract
The Human leukocyte antigen (HLA) molecules are central to immune response and have associations with the phenotypes of various diseases and induced drug toxicity. Further, the role of HLA molecules in presenting antigens significantly affects the transplantation outcome. The objective of this study was to examine the extent of the diversity of HLA alleles in the population of the United Arab Emirates (UAE) using Next-Generation Sequencing methodologies and encompassing a larger cohort of individuals. A cohort of 570 unrelated healthy citizens of the UAE volunteered to provide samples for Whole Genome Sequencing and Whole Exome Sequencing. The definition of the HLA alleles was achieved through the application of the bioinformatics tools, HLA-LA and xHLA. Subsequently, the findings from this study were compared with other local and international datasets. A broad range of HLA alleles in the UAE population, of which some were previously unreported, was identified. A comparison with other populations confirmed the current population's unique intertwined genetic heritage while highlighting similarities with populations from the Middle East region. Some disease-associated HLA alleles were detected at a frequency of > 5%, such as HLA-B*51:01, HLA-DRB1*03:01, HLA-DRB1*15:01, and HLA-DQB1*02:01. The increase in allele homozygosity, especially for HLA class I genes, was identified in samples with a higher level of genome-wide homozygosity. This highlights a possible effect of consanguinity on the HLA homozygosity. The HLA allele distribution in the UAE population showcases a unique profile, underscoring the need for tailored databases for traditional activities such as unrelated transplant matching and for newer initiatives in precision medicine based on specific populations. This research is part of a concerted effort to improve the knowledge base, particularly in the fields of transplant medicine and investigating disease associations as well as in understanding human migration patterns within the Arabian Peninsula and surrounding regions.
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Affiliation(s)
- Nour Al Dain Marzouka
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Halima Alnaqbi
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Amira Al-Aamri
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Guan Tay
- Division of Psychiatry, Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
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19
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Stancil SL, Sandritter T, Strawn JR. Pharmacogenetics and Oxcarbazepine in Children and Adolescents: Beyond HLA-B*15:02. J Child Adolesc Psychopharmacol 2024; 34:61-66. [PMID: 38377523 PMCID: PMC10880270 DOI: 10.1089/cap.2023.0064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Background: Oxcarbazepine is thought to be better-tolerated and less susceptible to drug-drug interactions than its predecessor, carbamazepine. Genetic testing for HLA-B*15:02 is recommended in specific populations to identify those at high risk of severe hypersensitivity reactions; however, other pharmacologic and pharmacogenetic factors that can impact drug disposition may be involved. Methods: We present a case of an 8-year-old boy treated with oxcarbazepine who developed drug reaction with eosinophilia and systemic symptoms (DRESS) with Stevens-Johnsons syndrome overlap and was negative for HLA-B*15:02. We review the extant literature related to oxcarbazepine disposition, and potential pharmacogenetic variants in aldoketoreductase 1C (AKR1C)2-4 that may contribute to this risk. Results: Genetic variability in oxcarbazepine disposition pathways may contribute to tolerability and toxicity, including the development of hypersensitivity reactions. Conclusions: While preemptive genetic testing for HLA-B*15:02 in individuals of Asian ancestry is recommended to prevent severe hypersensitivity reactions to oxcarbazepine, oxcarbazepine concentrations and AKR1C variation may contribute to the risk of severe adverse reactions. We provide recommendations for future study to elucidate whether these individual factors are important for reducing the risk of severe adverse events.
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Affiliation(s)
- Stephani L. Stancil
- Division of Adolescent Medicine, Children's Mercy Kansas City, Kansas City, Missouri, USA
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
- Department of Pediatrics, University of Missouri–Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Tracy Sandritter
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Jeffrey R. Strawn
- Department of Psychiatry and Behavioral Neuroscience and University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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20
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Malik S, Verma P, Ruaño G, Al Siaghy A, Dilawar A, Bishop JR, Strawn JR, Namerow LB. Pharmacogenetics in Child and Adolescent Psychiatry: Background and Evidence-Based Clinical Applications. J Child Adolesc Psychopharmacol 2024; 34:4-20. [PMID: 38377525 DOI: 10.1089/cap.2023.0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
The efficacy and tolerability of psychotropic medications can vary significantly among children and adolescents, and some of this variability relates to pharmacogenetic factors. Pharmacogenetics (PGx) in child and adolescent psychiatry can potentially improve treatment outcomes and minimize adverse drug reactions. This article reviews key pharmacokinetic and pharmacodynamic genes and principles of pharmacogenetic testing and discusses the evidence base for clinical decision-making concerning PGx testing. This article reviews current guidelines from the United States Food and Drug Administration (FDA), the Clinical Pharmacogenetics Implementation Consortium (CPIC), and the Dutch Pharmacogenetics Working Group (DPWG) and explores potential future directions. This review discusses key clinical considerations for clinicians prescribing psychotropic medications in children and adolescents, focusing on antidepressants, antipsychotics, stimulants, norepinephrine reuptake inhibitors, and alpha-2 agonists. Finally, this review synthesizes the practical use of pharmacogenetic testing and clinical decision support systems.
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Affiliation(s)
- Salma Malik
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
- Division of Child and Adolescent Psychiatry, Institute of Living/Hartford Hospital, Hartford, Connecticut, USA
| | - Pragya Verma
- Division of Child and Adolescent Psychiatry, Institute of Living/Hartford Hospital, Hartford, Connecticut, USA
| | - Gualberto Ruaño
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Areej Al Siaghy
- Division of Child and Adolescent Psychiatry, Institute of Living/Hartford Hospital, Hartford, Connecticut, USA
| | | | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Jeffrey R Strawn
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, Ohio, USA
| | - Lisa B Namerow
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
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21
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Zhu X, Luo G, Zheng L. Update on HLA-B*15:02 allele associated with adverse drug reactions. Pharmacogenomics 2024; 25:97-111. [PMID: 38305022 DOI: 10.2217/pgs-2023-0173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
HLA alleles, part of the major histocompatibility complex, are strongly associated with adverse drug reactions (ADRs). This review focuses on HLA-B*15:02 and explores its association with ADRs in various ethnic populations and with different drugs, aiming to provide insights into the safe clinical use of drugs and minimize the occurrence of ADRs. Furthermore, the review explores the potential mechanisms by which HLA-B*15:02 may be associated with ADRs, aiming to gain new insights into drug modification and identification of haptens. In addition, it analyzes the frequency of the HLA-B*15:02, genotyping methods, cost-effectiveness and treatment measures for adverse reactions, thereby providing a theoretical basis for formulating clinical treatment plans.
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Affiliation(s)
- Xueting Zhu
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Guanghua Luo
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Lu Zheng
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
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22
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Bui VL, Alvarez-Arango S, Stevenson JM. Pharmacogenetics to prevent hypersensitivity reactions to antiepileptic drugs: is testing performed when indicated? Pharmacogenet Genomics 2024; 34:16-19. [PMID: 37830946 PMCID: PMC10841751 DOI: 10.1097/fpc.0000000000000510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Extensive scientific evidence consistently demonstrates the clinical validity and utility of HLA-B*15:02 pre-screening in averting severe cutaneous adverse reactions (SCARs), namely Stevens-Johnson syndrome and toxic epidermal necrolysis, associated with carbamazepine or oxcarbazepine usage. Current practice guidelines and drug labeling actively advocate for pharmacogenetic pre-screening before initiating these antiepileptic drugs (AED), with particular emphasis on patients of Asian descent. However, there is a potential need to strengthen compliance with these recommendations. This retrospective study aimed to describe the pharmacogenetic pre-screening, documentation, and SCARs incidence for patients of Asian ancestry initiated on carbamazepine or oxcarbazepine at a large Northeastern USA healthcare system. Between 1 July 2016 and August 1, 2021, 27 patients with documented Asian heritage in the electronic health record (EHR) were included. The overall rate of HLA-B*15:02 pre-screening before carbamazepine or oxcarbazepine initiation was 4%. None who underwent pharmacogenetic pre-screening carried the associated HLA-B risk allele, and no SCARs were reported. Notably, pharmacogenetic results were not discretely entered into the EHR, and the results were only found as attached documents in the miscellaneous section of the EHR. There remains a significant opportunity for improving HLA-B*15:02 pre-screening for patients starting carbamazepine and oxcarbazepine to prevent SCARs in the USA.
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Affiliation(s)
- Vy L. Bui
- Department of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD
| | - Santiago Alvarez-Arango
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - James M. Stevenson
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
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23
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Bousman CA, Maruf AA, Marques DF, Brown LC, Müller DJ. The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review. Psychol Med 2023; 53:7983-7993. [PMID: 37772416 PMCID: PMC10755240 DOI: 10.1017/s0033291723002817] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023]
Abstract
Psychotropic medication efficacy and tolerability are critical treatment issues faced by individuals with psychiatric disorders and their healthcare providers. For some people, it can take months to years of a trial-and-error process to identify a medication with the ideal efficacy and tolerability profile. Current strategies (e.g. clinical practice guidelines, treatment algorithms) for addressing this issue can be useful at the population level, but often fall short at the individual level. This is, in part, attributed to interindividual variation in genes that are involved in pharmacokinetic (i.e. absorption, distribution, metabolism, elimination) and pharmacodynamic (e.g. receptors, signaling pathways) processes that in large part, determine whether a medication will be efficacious or tolerable. A precision prescribing strategy know as pharmacogenomics (PGx) assesses these genomic variations, and uses it to inform selection and dosing of certain psychotropic medications. In this review, we describe the path that led to the emergence of PGx in psychiatry, the current evidence base and implementation status of PGx in the psychiatric clinic, and finally, the future growth potential of precision psychiatry via the convergence of the PGx-guided strategy with emerging technologies and approaches (i.e. pharmacoepigenomics, pharmacomicrobiomics, pharmacotranscriptomics, pharmacoproteomics, pharmacometabolomics) to personalize treatment of psychiatric disorders.
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Affiliation(s)
- Chad A. Bousman
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- Department of Medical Genetics, University of Calgary, Calgary, AB, Canada
- Departments of Physiology and Pharmacology, and Community Health Sciences, University of Calgary, Calgary, AB, Canada
- AB Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | - Abdullah Al Maruf
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- College of Pharmacy, Rady Faculty of Health Sciences, Winnipeg, MB, Canada
| | | | | | - Daniel J. Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Wurzburg, Wurzburg, Germany
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24
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Leung JG. Ethnopsychopharmacology: Clinical and scientific writing pearls. Ment Health Clin 2023; 13:276-288. [PMID: 38058595 PMCID: PMC10696167 DOI: 10.9740/mhc.2023.12.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 09/26/2023] [Indexed: 12/08/2023] Open
Abstract
The concept of ethnopsychopharmacology aims to predict or explain the pharmacologic response to psychiatric medications based on the influence of biologic and nonbiologic factors. Interactions involving these factors are complex and influence patient outcomes in health care. Pharmacists and other clinicians working in patient care environments, research, or medical education should engage in lifelong learning to enhance ethnopsychopharmacologic knowledge gaps, which ultimately may improve and individualize care across diverse populations. Through two cases, this paper provides pearls on how biogeographical ancestry and cytochrome P450 status may influence pharmacotherapy selection, dosing, or response. A third scenario highlights a publication, like many other published works, with deficiencies in how data on ancestry, race, and ethnicity are collected or reported. Current recommendations on the use of inclusive language in scientific writing are reviewed, with attention to specific examples.
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25
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Guin D, Hasija Y, Kukreti R. Assessment of clinically actionable pharmacogenetic markers to stratify anti-seizure medications. THE PHARMACOGENOMICS JOURNAL 2023; 23:149-160. [PMID: 37626111 DOI: 10.1038/s41397-023-00313-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 07/22/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023]
Abstract
Epilepsy treatment is challenging due to heterogeneous syndromes, different seizure types and higher inter-individual variability. Identification of genetic variants predicting drug efficacy, tolerability and risk of adverse-effects for anti-seizure medications (ASMs) is essential. Here, we assessed the clinical actionability of known genetic variants, based on their functional and clinical significance and estimated their diagnostic predictability. We performed a systematic PubMed search to identify articles with pharmacogenomic (PGx) information for forty known ASMs. Functional annotation of the identified genetic variants was performed using different in silico tools, and their clinical significance was assessed using the American College of Medical Genetics (ACMG) guidelines for variant pathogenicity, level of evidence (LOE) from PharmGKB and the United States-Food and drug administration (US- FDA) drug labelling with PGx information. Diagnostic predictability of the replicated genetic variants was evaluated by calculating their accuracy. A total of 270 articles were retrieved with PGx evidence associated with 19 ASMs including 178 variants across 93 genes, classifying 26 genetic variants as benign/ likely benign, fourteen as drug response markers and three as risk factors for drug response. Only seventeen of these were replicated, with accuracy (up to 95%) in predicting PGx outcomes specific to six ASMs. Eight out of seventeen variants have FDA-approved PGx drug labelling for clinical implementation. Therefore, the remaining nine variants promise for potential clinical actionability and can be improvised with additional experimental evidence for clinical utility.
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Affiliation(s)
- Debleena Guin
- Genomics and Molecular Medicine Unit, Council of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology (IGIB), New Delhi, 110007, India
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Delhi, 110042, India
| | - Yasha Hasija
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Delhi, 110042, India
| | - Ritushree Kukreti
- Genomics and Molecular Medicine Unit, Council of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology (IGIB), New Delhi, 110007, India.
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
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26
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Marks ME, Botta RK, Abe R, Beachkofsky TM, Boothman I, Carleton BC, Chung WH, Cibotti RR, Dodiuk-Gad RP, Grimstein C, Hasegawa A, Hoofnagle JH, Hung SI, Kaffenberger B, Kroshinsky D, Lehloenya RJ, Martin-Pozo M, Micheletti RG, Mockenhaupt M, Nagao K, Pakala S, Palubinsky A, Pasieka HB, Peter J, Pirmohamed M, Reyes M, Saeed HN, Shupp J, Sukasem C, Syu JY, Ueta M, Zhou L, Chang WC, Becker P, Bellon T, Bonnet K, Cavalleri G, Chodosh J, Dewan AK, Dominguez A, Dong X, Ezhkova E, Fuchs E, Goldman J, Himed S, Mallal S, Markova A, McCawley K, Norton AE, Ostrov D, Phan M, Sanford A, Schlundt D, Schneider D, Shear N, Shinkai K, Tkaczyk E, Trubiano JA, Volpi S, Bouchard CS, Divito SJ, Phillips EJ. Updates in SJS/TEN: collaboration, innovation, and community. Front Med (Lausanne) 2023; 10:1213889. [PMID: 37901413 PMCID: PMC10600400 DOI: 10.3389/fmed.2023.1213889] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/31/2023] [Indexed: 10/31/2023] Open
Abstract
Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (SJS/TEN) is a predominantly drug-induced disease, with a mortality rate of 15-20%, that engages the expertise of multiple disciplines: dermatology, allergy, immunology, clinical pharmacology, burn surgery, ophthalmology, urogynecology, and psychiatry. SJS/TEN has an incidence of 1-5/million persons per year in the United States, with even higher rates globally. One of the challenges of SJS/TEN has been developing the research infrastructure and coordination to answer questions capable of transforming clinical care and leading to improved patient outcomes. SJS/TEN 2021, the third research meeting of its kind, was held as a virtual meeting on August 28-29, 2021. The meeting brought together 428 international scientists, in addition to a community of 140 SJS/TEN survivors and family members. The goal of the meeting was to brainstorm strategies to support the continued growth of an international SJS/TEN research network, bridging science and the community. The community workshop section of the meeting focused on eight primary themes: mental health, eye care, SJS/TEN in children, non-drug induced SJS/TEN, long-term health complications, new advances in mechanisms and basic science, managing long-term scarring, considerations for skin of color, and COVID-19 vaccines. The meeting featured several important updates and identified areas of unmet research and clinical need that will be highlighted in this white paper.
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Affiliation(s)
- Madeline E. Marks
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Ramya Krishna Botta
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Riichiro Abe
- Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Thomas M. Beachkofsky
- Departments of Dermatology and Medicine, Uniformed Services University, Bethesda, MD, United States
| | - Isabelle Boothman
- The SFI Centre for Research Training in Genomics Data Science, Dublin, Ireland
| | - Bruce C. Carleton
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia and the British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Wen-Hung Chung
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Ricardo R. Cibotti
- National Institute of Arthritis and Musculoskeletal and Skin (NIAMS), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Roni P. Dodiuk-Gad
- Department of Dermatology, Emek Medical Center, Afula, Israel
- Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Dermatology, Bruce Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Christian Grimstein
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Akito Hasegawa
- Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Jay H. Hoofnagle
- Liver Disease Research Branch, Division of Digestive Diseases and Nutrition of NIDDK, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Shuen-Iu Hung
- Cancer Vaccine and Immune Cell Therapy Core Laboratory, Department of Medical Research, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Benjamin Kaffenberger
- Department of Dermatology, Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Daniela Kroshinsky
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Rannakoe J. Lehloenya
- Division of Dermatology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Michelle Martin-Pozo
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert G. Micheletti
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Maja Mockenhaupt
- Dokumentationszentrum schwerer Hautreaktionen (dZh), Department of Dermatology, Medical Center and Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Keisuke Nagao
- National Institute of Arthritis and Musculoskeletal and Skin (NIAMS), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Suman Pakala
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Amy Palubinsky
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Helena B. Pasieka
- Departments of Dermatology and Medicine, Uniformed Services University, Bethesda, MD, United States
- The Burn Center, MedStar Washington Hospital Center, Washington, D.C., DC, United States
- Department of Dermatology, MedStar Health/Georgetown University, Washington, D.C., DC, United States
| | - Jonathan Peter
- Division of Allergy and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Munir Pirmohamed
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Melissa Reyes
- Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, United States
| | - Hajirah N. Saeed
- Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States
| | - Jeffery Shupp
- Department of Surgery, Plastic and Reconstructive Surgery, Biochemistry, and Molecular and Cellular Biology, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, D.C., DC, United States
| | - Chonlaphat Sukasem
- Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Jhih Yu Syu
- Department of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Mayumi Ueta
- Department of Frontier Medical Science and Technology for Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Wan-Chun Chang
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia and the British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Patrice Becker
- Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Disease, Bethesda, MD, United States
| | - Teresa Bellon
- Drug Hypersensitivity Laboratory, La Paz Health Research Institute (IdiPAZ), Madrid, Spain
| | - Kemberlee Bonnet
- Department of Psychology, Vanderbilt University, Nashville, TN, United States
| | - Gianpiero Cavalleri
- The SFI Centre for Research Training in Genomics Data Science, Dublin, Ireland
| | - James Chodosh
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Anna K. Dewan
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Arturo Dominguez
- Department of Dermatology and Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States
| | - Xinzhong Dong
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Elena Ezhkova
- Department of Cell, Developmental, and Regenerative Biology and Dermatology, Black Family Stem Cell Institute, Mount Sinai School of Medicine, New York, NY, United States
| | - Esther Fuchs
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States
| | - Jennifer Goldman
- Division of Pediatric Infectious Diseases and Clinical Pharmacology, Children’s Mercy, Kansas City, MO, United States
| | - Sonia Himed
- College of Medicine, University of Cincinnati, Cincinnati, OH, United States
| | - Simon Mallal
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Alina Markova
- Department of Dermatology, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, United States
| | - Kerry McCawley
- Stevens-Johnson Syndrome Foundation, Westminster, CO, United States
| | - Allison E. Norton
- Division of Pediatric Allergy, Immunology, and Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - David Ostrov
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
| | - Michael Phan
- Division of Pharmacovigilance-I, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Arthur Sanford
- Division of Trauma, Surgical Critical Care, and Burns, Loyola University Medical Center, Chicago, IL, United States
| | - David Schlundt
- Department of Psychology, Vanderbilt University, Nashville, TN, United States
| | - Daniel Schneider
- Department of Psychiatry and Surgery, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, D.C., DC, United States
| | - Neil Shear
- Department of Dermatology, Emek Medical Center, Afula, Israel
| | - Kanade Shinkai
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
| | - Eric Tkaczyk
- Department of Veterans Affairs, Vanderbilt Dermatology Translational Research Clinic (VDTRC.org), Nashville, TN, United States
| | - Jason A. Trubiano
- Department of Infectious Diseases and Medicine, Austin Health, University of Melbourne, Melbourne, VIC, Australia
| | - Simona Volpi
- National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Charles S. Bouchard
- Department of Opthalmology, Loyola University Medical Center, Chicago, IL, United States
| | - Sherrie J. Divito
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Elizabeth J. Phillips
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
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27
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Ramsey LB, Prows CA, Tang Girdwood S, Van Driest S. Current Practices in Pharmacogenomics. Pediatr Clin North Am 2023; 70:995-1011. [PMID: 37704356 PMCID: PMC10865383 DOI: 10.1016/j.pcl.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Pharmacogenomics, where genomic information is used to tailor medication management, is a strategy to maximize drug efficacy and minimize toxicity. Although pediatric evidence is less robust than for adults, medications influenced by pharmacogenomics are prescribed to children and adolescents. Evidence-based guidelines and drug label annotations are available from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Pharmacogenomics Knowledgebase (PharmGKB). Some pediatric health care facilities use pharmacogenomics to provide dosing recommendations to pediatricians. Herein, we use a case-based approach to illustrate the use of pharmacogenomic data in pediatric clinical care and provide resources for finding and using pharmacogenomic guidelines.
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Affiliation(s)
- Laura B Ramsey
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA; Division of Research in Patient Services, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA.
| | - Cynthia A Prows
- Division of Human Genetics, Department of Pediatrics and Center for Professional Excellence, Patient Services, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA
| | - Sonya Tang Girdwood
- Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA; Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA; Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA
| | - Sara Van Driest
- Department of Pediatrics, Vanderbilt University Medical Center, 2200 Children's Way, 8232 DOT, Nashville, TN 37205, USA
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28
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van der Drift D, Simoons M, Koch BCP, Brufau G, Bindels P, Matic M, van Schaik RHN. Implementation of Pharmacogenetics in First-Line Care: Evaluation of Its Use by General Practitioners. Genes (Basel) 2023; 14:1841. [PMID: 37895189 PMCID: PMC10606701 DOI: 10.3390/genes14101841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Pharmacogenetics (PGx) can explain/predict drug therapy outcomes. There is, however, unclarity about the use and usefulness of PGx in primary care. In this study, we investigated PGx tests ordered by general practitioners (GPs) in 2021 at Dept. Clinical Chemistry, Erasmus MC, and analyzed the gene tests ordered, drugs/drug groups, reasons for testing and single-gene versus panel testing. Additionally, a survey was sent to 90 GPs asking about their experiences and barriers to implementing PGx. In total, 1206 patients and 6300 PGx tests were requested by GPs. CYP2C19 was requested most frequently (17%), and clopidogrel was the most commonly indicated drug (23%). Regarding drug groups, antidepressants (51%) were the main driver for requesting PGx, followed by antihypertensives (26%). Side effects (79%) and non-response (27%) were the main indicators. Panel testing was preferred over single-gene testing. The survey revealed knowledge on when and how to use PGx as one of the main barriers. In conclusion, PGx is currently used by GPs in clinical practice in the Netherlands. Side effects are the main reason for testing, which mostly involves antidepressants. Lack of knowledge is indicated as a major barrier, indicating the need for more education on PGx for GPs.
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Affiliation(s)
- Denise van der Drift
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Mirjam Simoons
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Birgit C. P. Koch
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Gemma Brufau
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
- Department of Clinical Chemistry, Result Laboratory, 3318 AT Dordrecht, The Netherlands
| | - Patrick Bindels
- Department of General Practice, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Maja Matic
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Ron H. N. van Schaik
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
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Wattanachai P, Amornpinyo W, Konyoung P, Purimart D, Khunarkornsiri U, Pattanacheewapull O, Tassaneeyakul W, Nakkam N. Association between HLA alleles and beta-lactam antibiotics-related severe cutaneous adverse reactions. Front Pharmacol 2023; 14:1248386. [PMID: 37795024 PMCID: PMC10546186 DOI: 10.3389/fphar.2023.1248386] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/31/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction: Beta-lactam antibiotics are one of the most common causes of antibiotics-related severe cutaneous adverse reactions (SCARs) including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), drug reactions with eosinophilia and systemic symptoms (DRESS), and acute generalized exanthematous pustulosis (AGEP). Recent evidence demonstrated that the human leukocyte antigen (HLA) polymorphisms play important roles in the development of drug-related SCARs. This study aimed to extensively characterize the associations between HLA genetic polymorphisms and several phenotypes of SCARs related to beta-lactam antibiotics. Methods: Thirty-one Thai patients with beta-lactam antibiotics-related SCARs were enrolled in the study. A total of 183 unrelated native Thai subjects without any evidence of drug allergy were recruited as the control group. Genotyping of HLA class I and class II alleles was performed. Results: Six HLA alleles including HLA-A*01:01, HLA-B*50:01, HLA-C*06:02, HLA-DRB1*15:01, HLA-DQA1*03:01, and HLA-DQB1*03:02, were significantly associated with beta-lactam antibiotics-related SCARs. The highest risk of SCARs was observed in patients with the HLA-B*50:01 allele (OR = 12.6, 95% CI = 1.1-142.9, p = 0.042), followed by the HLA-DQB1*03:02 allele (OR = 5.8, 95% CI = 1.5-22.0, p = 0.012) and the HLA-C*06:02 allele (OR = 5.7, 95% CI = 1.6-19.9, p = 0.011). According to the phenotypes of SCARs related to beta-lactam antibiotics, the higher risk of SJS/TEN was observed in patients with HLA-A*03:02, HLA-B*46:02 (OR = 17.5, 95% CI = 1.5-201.6, p = 0.033), HLA-A*02:06, HLA-B*57:01 (OR = 9.5, 95% CI = 1.3-71.5, p = 0.028), HLA-DQB1*03:02 (OR = 7.5, 95% CI = 1.8-30.9, p = 0.008), or HLA-C*06:02 (OR = 4.9, 95% CI = 1.1-21.4, p = 0.008). While eight HLA alleles including HLA-A*02:05, HLA-A*02:11, HLA-B*37:01, HLA-B*38:01, HLA-B*50:01, HLA-C*06:02, HLA-C*03:09, and HLA-DRB1*15:01 were associated with AGEP, the highest risk of AGEP was observed in patients with the HLA-B*50:01 allele (OR = 60.7, 95% CI = 4.8-765.00, p = 0.005). Among the four HLA alleles associated with DRESS including HLA-C*04:06, HLA-DRB1*04:05, HLA-DRB1*11:01, and HLA-DQB1*04:01, the HLA-C*04:06 allele had the highest risk of beta-lactam antibiotics-related DRESS (OR = 60.0, 95% CI = 3.0-1202.1, p = 0.043). However, these associations did not achieve statistical significance after Bonferroni's correction. Apart from the HLA risk alleles, the HLA-A*02:07 allele appeared to be a protective factor against beta-lactam antibiotic-related SCARs (OR = 0.1, 95% CI = 0.0-0.5, p = 3.7 × 10-4, Pc = 0.012). Conclusion: This study demonstrated the candidate HLA alleles that are significantly associated with several phenotypes of beta-lactam antibiotics-related SCARs. However, whether the HLA alleles observed in this study can be used as valid genetic markers for SCARs related to beta-lactam antibiotics needs to be further explored in other ethnicities and larger cohort studies.
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Affiliation(s)
- Pansakon Wattanachai
- Department of Pharmacology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Warayuwadee Amornpinyo
- Division of Dermatology, Department of Internal Medicine, Khon Kaen Hospital, Khon Kaen, Thailand
| | | | | | | | | | | | - Nontaya Nakkam
- Department of Pharmacology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
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Fearn N, Macdonald-Laurs E, Moylan L, Howell KB. Peri-ictal EEG in infants with PRRT2-related self-limited infantile epilepsy. Epileptic Disord 2023; 25:510-518. [PMID: 37170076 DOI: 10.1002/epd2.20072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/08/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVE Pathogenic PRRT2 variants cause self-limited (familial) infantile epilepsy (SeLIE), which is responsive to sodium channel blocking antiseizure medications. The interictal EEG is typically normal. We describe a cohort of infants with PRRT2-related SeLIE with striking peri-ictal EEG abnormalities. METHODS We included all infants diagnosed with PRRT2-related SeLIE during July 2020 to November 2021 at the Royal Children's Hospital, Melbourne. Clinical features and results of aetiologic investigations were collected from electronic medical records. All EEGs were reviewed independently by two epileptologists. RESULTS Ten infants presented with focal seizures at a median age of 5 months (range: 3-6 months). Eight had a family history of epilepsy, paroxysmal kinesigenic dyskinesia (PKD) or hemiplegic migraine. Seven of the eight infants with an EEG performed within 24 h of the most recent seizure had epileptiform discharges. Their EEGs showed focal sharp waves, spikes, polyspikes or fast activity independently over the left and right temporo-occipital regions. Conversely, the two infants with last known seizure greater than 24 h prior to their EEG had no epileptiform discharges. Oxcarbazepine was commenced in two infants and was effective. Eight infants were initially treated with levetiracetam, and all were subsequently switched to oxcarbazepine due to ongoing seizures or side effects. SIGNIFICANCE Posterior polymorphic focal epileptiform discharges on a peri-ictal EEG recording are a feature of PRRT2-related SeLIE. This finding, particularly in the presence of a family history of infantile epilepsy, PKD or hemiplegic migraine, suggests a diagnosis of PRRT2-related SeLIE and has important treatment implications.
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Affiliation(s)
- Nicola Fearn
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Emma Macdonald-Laurs
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- The University of Melbourne, Parkville, Victoria, Australia
| | - Laura Moylan
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Katherine B Howell
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
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Nguyen AH, Sukasem C, Nguyen QN, Pham HT. The pharmacogenomics of carbamazepine-induced cutaneous adverse drug reaction in the South of Vietnam. Front Pharmacol 2023; 14:1217516. [PMID: 37521485 PMCID: PMC10374328 DOI: 10.3389/fphar.2023.1217516] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/03/2023] [Indexed: 08/01/2023] Open
Abstract
Background: The relationship between HLA-B*15:02 and Severe Cutaneous Adverse Reactions was rigorously examined in Japanese, Han Chinese, Thais, and Caucasians. However, the number of studies about this topic in Vietnamese population is still limited and mostly focuses on the North of Vietnam. Objective: This study aims to clarify the genetic culprit of SCARs in Vietnamese population, particularly in the South of Vietnam, and to validate our result by a meta-analysis about this topic in Vietnamese. Method: A retrospective case-control study with 37 patients treated with carbamazepine monotherapy. Statistical calculation and meta-analysis were performed by R software. Result: HLA-B*15:02 increases the risk of SJS 12.5 times higher in CBZ-treated patients (p-value = 0.017). However, this allele has no impact on MCARs (Mild Cutaneous Adverse Reactions) of CBZ. The number needed to test and the number needed to genotype is two and nine patients respectively. Conclusion: This study recommends more investigations about the cost-effectiveness of this test to accelerate the protection of Southern Vietnamese from SCARs.
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Affiliation(s)
- Ai-Hoc Nguyen
- Department of Pathology, Division of Pharmacogenomics and Personalized Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
- Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho ChiMinh City, Vietnam
| | - Chonlaphat Sukasem
- Department of Pathology, Division of Pharmacogenomics and Personalized Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad International Hospital, Bangkok, Thailand
- Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, Bangkok, Thailand
| | - Quy Ngoc Nguyen
- Department of Pharmacy, Nguyen Tat Thanh University, Ho ChiMinh City, Vietnam
| | - Hong Tham Pham
- Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho ChiMinh City, Vietnam
- Department of Pharmacy, Nguyen Tat Thanh University, Ho ChiMinh City, Vietnam
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Muzaffar AF, Abdul-Massih S, Stevenson JM, Alvarez-Arango S. Use of the Electronic Health Record for Monitoring Adverse Drug Reactions. Curr Allergy Asthma Rep 2023; 23:417-426. [PMID: 37191903 DOI: 10.1007/s11882-023-01087-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2023] [Indexed: 05/17/2023]
Abstract
PURPOSE OF REVIEW Adverse drug reactions (ADRs) are a significant cause of morbidity and mortality. The electronic health record (EHR) provides an opportunity to monitor ADRs, mainly through the utilization of drug allergy data and pharmacogenomics. This review article explores the current use of the EHR for ADR monitoring and highlights areas that require improvement. RECENT FINDINGS Recent research has identified several issues with using EHR for ADR monitoring. These include the lack of standardization between EHR systems, specificity in data entry options, incomplete and inaccurate documentation, and alert fatigue. These issues can limit the effectiveness of ADR monitoring and compromise patient safety. The EHR has great potential for monitoring ADR but needs significant updates to improve patient safety and optimize care. Future research should concentrate on developing standardized documentation and clinical decision support systems within EHRs. Healthcare professionals should also be educated on the significance of accurate and complete ADR monitoring.
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Affiliation(s)
- Anum F Muzaffar
- Division of Allergy and Immunology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sandra Abdul-Massih
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James M Stevenson
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Santiago Alvarez-Arango
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Hopkins Bayview Circle, 5501, MD, 21224, Baltimore, USA.
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Anukul N, Jenjaroenpun P, Sirikul C, Wankaew N, Nimsamer P, Roothumnong E, Pithukpakorn M, Leetrakool N, Wongsurawat T. Ultrarapid and high-resolution HLA class I typing using transposase-based nanopore sequencing applied in pharmacogenetic testing. Front Genet 2023; 14:1213457. [PMID: 37424729 PMCID: PMC10326273 DOI: 10.3389/fgene.2023.1213457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/06/2023] [Indexed: 07/11/2023] Open
Abstract
Nanopore sequencing has been examined as a method for rapid and high-resolution human leukocyte antigen (HLA) typing in recent years. We aimed to apply ultrarapid nanopore-based HLA typing for HLA class I alleles associated with drug hypersensitivity, including HLA-A*31:01, HLA-B*15:02, and HLA-C*08:01. Most studies have used the Oxford Nanopore Ligation Sequencing kit for HLA typing, which requires several enzymatic reactions and remains relatively expensive, even when the samples are multiplexed. Here, we used the Oxford Nanopore Rapid Barcoding kit, which is transposase-based, with library preparation taking less than 1 h of hands-on time and requiring minimal reagents. Twenty DNA samples were genotyped for HLA-A, -B, and -C; 11 samples were from individuals of different ethnicity and nine were from Thai individuals. Two primer sets, a commercial set and a published set, were used to amplify the HLA-A, -B, and -C genes. HLA-typing tools that used different algorithms were applied and compared. We found that without using several third-party reagents, the transposase-based method reduced the hands-on time from approximately 9 h to 4 h, making this a viable approach for obtaining same-day results from 2 to 24 samples. However, an imbalance in the PCR amplification of different haplotypes could affect the accuracy of typing results. This work demonstrates the ability of transposase-based sequencing to report 3-field HLA alleles and its potential for race- and population-independent testing at considerably decreased time and cost.
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Affiliation(s)
- Nampeung Anukul
- Division of Transfusion Science, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Research and Innovation Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chonticha Sirikul
- Division of Transfusion Science, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Natnicha Wankaew
- Division of Medical Bioinformatics, Research and Innovation Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Pattaraporn Nimsamer
- Division of Medical Bioinformatics, Research and Innovation Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ekkapong Roothumnong
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Manop Pithukpakorn
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nipapan Leetrakool
- Blood Bank Section, Maharaj Nakorn Chiang Mai Hospital, Faculty of Medicines, Chiang Mai University, Chiang Mai, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Research and Innovation Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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Stojanova J, Day RO, Suthers G. Avoiding severe drug hypersensitivity reactions: a case for HLA genotyping for at-risk patients. Med J Aust 2023; 218:441-444. [PMID: 37270788 DOI: 10.5694/mja2.51937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/27/2023] [Accepted: 03/20/2023] [Indexed: 06/06/2023]
Affiliation(s)
| | - Richard O Day
- St Vincent's Hospital Sydney, Sydney, NSW
- St Vincent's Clinical School, UNSW, Sydney, NSW
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35
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Kilpatrick MC, Givens SK, Watts Alexander CS. What Is Precision Medicine? PHYSICIAN ASSISTANT CLINICS 2023. [DOI: 10.1016/j.cpha.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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Huang Q, Liao Y, Yu T, Lei W, Liang H, Wen J, Liu Q, Chen Y, Huang K, Jing L, Huang X, Liu Y, Yu X, Su K, Liu T, Yang L, Huang M. A retrospective analysis of preemptive pharmacogenomic testing in 22,918 individuals from China. J Clin Lab Anal 2023; 37:e24855. [PMID: 36916827 PMCID: PMC10098050 DOI: 10.1002/jcla.24855] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/11/2023] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Pharmacogenomics (PGx) examines the influence of genetic variation on drug responses. With more and more Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines published, PGx is gradually shifting from the reactive testing of single gene toward the preemptive testing of multiple genes. But the profile of PGx genes, especially for the intra-country diversity, is not well understood in China. METHODS We retrospectively collected preemptive PGx testing data of 22,918 participants from 20 provinces of China, analyzed frequencies of alleles, genotypes and phenotypes of pharmacogenes, predicted drug responses for each participant, and performed comparisons between different provinces. RESULTS AND CONCLUSION After analyzing 15 pharmacogenes from CPIC guidelines of 31 drugs, we found that 99.97% of individuals may have an atypical response to at least one drug; the participants carry actionable genotypes leading to atypical dosage recommendation for a median of eight drugs. Over 99% of the participants were recommended a decreased warfarin dose based on genetic factors. There were 20 drugs with high-risk ratios from 0.18% to 58.25%, in which clopidogrel showed the highest high-risk ratio. In addition, the high-risk ratio of rasburicase in GUANGDONG (risk ratio (RR) = 13.17, 95%CI:4.06-33.22, p < 0.001) and GUANGXI (RR = 23.44, 95%CI:8.83-52.85, p < 0.001) were significantly higher than that in all provinces. Furthermore, the diversity we observed among 20 provinces suggests that preemptive PGx testing in different geographical regions in China may need to pay more attention to specific genes. These results emphasize the importance of preemptive PGx testing and provide essential evidence for promoting clinical implementation in China.
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Affiliation(s)
- Quanfei Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yuwei Liao
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Tao Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Wei Lei
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Hongfeng Liang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Jianxin Wen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Qing Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yu Chen
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaisheng Huang
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Lifang Jing
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Xiaoyan Huang
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Yuanru Liu
- CapitalBio Technology Co. Ltd., Beijing, China.,Guangdong CapitalBio Medical Laboratory, Dongguan, China
| | - Xiaokang Yu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Kaichan Su
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Tengfei Liu
- CapitalBio Genomics Co., Ltd., Dongguan, China.,CapitalBio Technology Co. Ltd., Beijing, China
| | - Liye Yang
- Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China
| | - Min Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China
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Musa N, Govindasamy GS, Hoong CB, Annuar AA, Mohamed Noor DA, Daud NAA. A simple PCR-SSP method for detection of HLA-B*15:02, *15:13, and *15:21. TURKISH JOURNAL OF BIOCHEMISTRY 2023. [DOI: 10.1515/tjb-2022-0202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Objectives
This study aims to develop a simple polymerase chain reaction (PCR) sequence-specific primer method, which will be used to genotype HLA-B*15:02, HLA-B*15:13, and HLA-B*15:21.
Methods
DNA was extracted from whole blood using a commercial DNA extraction kit. New specific primers were designed. The PCR was optimized for reproducibility and specificity. Parameters investigated included concentrations of MgCl2, primers concentration, and annealing temperature, to produce specific bands of interest. Known DNA samples were selected at random and tested using the PCR method.
Results
Simultaneously six duplex PCRs were successfully optimized using 1.0 mM MgCl2 and an annealing temperature of 62 °C. The method was also reproducible and specific. The results from the method showed 100% concordance with known DNA samples.
Conclusions
This study has successfully developed a simple and specific method to simultaneously genotype HLA-B*15:02, HLA-B*15:13, and HLA-B*15:21 using in-house developed PCR-SSP.
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Affiliation(s)
- Nurfadhlina Musa
- Human Genome Centre, School of Medical Sciences , Universiti Sains Malaysia , 16150 Kubang Kerian, Kota Bharu , Kelantan , Malaysia
| | - G Saravana Govindasamy
- Department of Pharmacy , Hospital Segamat , Ministry of Health Malaysia, Segamat , Johor , Malaysia
| | - Chew Beng Hoong
- Department of Pharmacy , Hospital Sultanah Bahiyah , Ministry of Health Malaysia, Alor Setar , Kedah , Malaysia
| | - Aziati Azwari Annuar
- Human Genome Centre, School of Medical Sciences , Universiti Sains Malaysia , 16150 Kubang Kerian, Kota Bharu , Kelantan , Malaysia
| | - Dzul Azri Mohamed Noor
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences , Universiti Sains Malaysia , 11800 USM , Pulau Pinang , Malaysia
| | - Nur Aizati Athirah Daud
- Human Genome Centre, School of Medical Sciences , Universiti Sains Malaysia , 16150 Kubang Kerian, Kota Bharu , Kelantan , Malaysia
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences , Universiti Sains Malaysia , 11800 USM , Pulau Pinang , Malaysia
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Liu Y, Lin Z, Chen Q, Chen Q, Sang L, Wang Y, Shi L, Guo L, Yu Y. PAnno: A pharmacogenomics annotation tool for clinical genomic testing. Front Pharmacol 2023; 14:1008330. [PMID: 36778023 PMCID: PMC9909284 DOI: 10.3389/fphar.2023.1008330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction: Next-generation sequencing (NGS) technologies have been widely used in clinical genomic testing for drug response phenotypes. However, the inherent limitations of short reads make accurate inference of diplotypes still challenging, which may reduce the effectiveness of genotype-guided drug therapy. Methods: An automated Pharmacogenomics Annotation tool (PAnno) was implemented, which reports prescribing recommendations and phenotypes by parsing the germline variant call format (VCF) file from NGS and the population to which the individual belongs. Results: A ranking model dedicated to inferring diplotypes, developed based on the allele (haplotype) definition and population allele frequency, was introduced in PAnno. The predictive performance was validated in comparison with four similar tools using the consensus diplotype data of the Genetic Testing Reference Materials Coordination Program (GeT-RM) as ground truth. An annotation method was proposed to summarize prescribing recommendations and classify drugs into avoid use, use with caution, and routine use, following the recommendations of the Clinical Pharmacogenetics Implementation Consortium (CPIC), etc. It further predicts phenotypes of specific drugs in terms of toxicity, dosage, efficacy, and metabolism by integrating the high-confidence clinical annotations in the Pharmacogenomics Knowledgebase (PharmGKB). PAnno is available at https://github.com/PreMedKB/PAnno. Discussion: PAnno provides an end-to-end clinical pharmacogenomics decision support solution by resolving, annotating, and reporting germline variants.
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Affiliation(s)
- Yaqing Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zipeng Lin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qiaochu Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Leqing Sang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yunjin Wang
- Department of Breast Surgery, Precision Cancer Medicine Center, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Li Guo
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, China,*Correspondence: Li Guo, ; Ying Yu,
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China,*Correspondence: Li Guo, ; Ying Yu,
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Blout Zawatsky CL, Bick D, Bier L, Funke B, Lebo M, Lewis KL, Orlova E, Qian E, Ryan L, Schwartz MLB, Soper ER. Elective genomic testing: Practice resource of the National Society of Genetic Counselors. J Genet Couns 2023; 32:281-299. [PMID: 36597794 DOI: 10.1002/jgc4.1654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 01/05/2023]
Abstract
Genetic counseling for patients who are pursuing genetic testing in the absence of a medical indication, referred to as elective genomic testing (EGT), is becoming more common. This type of testing has the potential to detect genetic conditions before there is a significant health impact permitting earlier management and/or treatment. Pre- and post-test counseling for EGT is similar to indication-based genetic testing. Both require a complete family and medical history when ordering a test or interpreting a result. However, EGT counseling has some special considerations including greater uncertainties around penetrance and clinical utility and a lack of published guidelines. While certain considerations in the selection of a high-quality genetic testing laboratory are universal, there are some considerations that are unique to the selection of a laboratory performing EGT. This practice resource intends to provide guidance for genetic counselors and other healthcare providers caring for adults seeking pre- or post-test counseling for EGT. Genetic counselors and other genetics trained healthcare providers are the ideal medical professionals to supply accurate information to individuals seeking counseling about EGT enabling them to make informed decisions about testing and follow-up.
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Affiliation(s)
- Carrie L Blout Zawatsky
- Genomes2People, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Ariadne Labs, Boston, Massachusetts, USA.,The MGH Institute of Health Professions, Boston, Massachusetts, USA
| | | | - Louise Bier
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Matthew Lebo
- Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Pathology, Harvard Medical School, Cambridge, Massachusetts, USA.,Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, Massachusetts, USA
| | - Katie L Lewis
- Center for Precision Health Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Emily Qian
- Department of Genetics, Yale University, New Haven, Connecticut, USA
| | | | - Marci L B Schwartz
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Emily R Soper
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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40
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Cai M, Zhou L, Gao D, Mei D, Zhang B, Zuo W, Yan Q. A national survey of individualized pharmaceutical care practice in Chinese hospitals in 2019. Front Pharmacol 2023; 14:1022134. [PMID: 36937844 PMCID: PMC10018172 DOI: 10.3389/fphar.2023.1022134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 02/15/2023] [Indexed: 03/06/2023] Open
Abstract
Background: Individualized pharmaceutical care, which consists of therapeutic drug monitoring (TDM), pharmacogenetic (PGx) testing and pharmacist-managed clinic (PMC), is one of the most important trends in clinical pharmacy development in the future. While relevant studies in China were primarily single-center or regional. This study aims to explore the current status of individualized pharmaceutical care in China, find out the existing problems and provide references for its further development. Methods: An electronic questionnaire was used and national hospitals' pharmaceutical administration data from January to December 2019 were collected. The data were sorted into Excel for further statistical analysis. All analyses were descriptive. Results: The proportions of hospitals that performed TDM and PGx testing were 12.83% and 9.48%, respectively. The major responsible departments were the clinical laboratory and pharmacy department. External quality control was carried out in around 70% of hospitals for both TDM and PGx testing. More than half of hospitals provided TDM services for valproate sodium, digoxin, carbamazepine, vancomycin and cyclosporine. And an average of 6.84 drugs were performed TDM in 540 hospitals. Clopidogrel and warfarin were the top two drugs that performed PGx testing. As for the PMC, 10.03% of hospitals opened PMC, of which 60.00% had independent PMC. Approximately 80% of PMC services were free of charge. Conclusion: The development of individualized pharmaceutical care in China is still in the early stage. Different sectors have to coalesce to promote its implementation, including the appropriate education, coverage, reimbursement policies, high-quality evidence, data systems, health system processes and health policies, etc.
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Affiliation(s)
- Mingyuan Cai
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Liang Zhou
- National Institute of Hospital Administration, Beijing, China
| | - Daihui Gao
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Dan Mei
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Bo Zhang
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Wei Zuo
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
- *Correspondence: Wei Zuo, ; Qing Yan,
| | - Qing Yan
- National Institute of Hospital Administration, Beijing, China
- *Correspondence: Wei Zuo, ; Qing Yan,
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41
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Bally S, Cottin J, Gagnieu MC, Lega JC, Verstuyft C, Rheims S, Lesca G, Cucherat M, Grenet G. Publication bias in pharmacogenetics of adverse reaction to antiseizure drugs: An umbrella review and a meta-epidemiological study. PLoS One 2022; 17:e0278839. [PMID: 36584134 PMCID: PMC9803138 DOI: 10.1371/journal.pone.0278839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/23/2022] [Indexed: 12/31/2022] Open
Abstract
Publication bias may lead to a misestimation in the association between pharmacogenetic biomarkers (PGx) and antiseizure drug's adverse effects (AEs). We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each unique association between a PGx, a drug and its AE, we used the available odds ratio (ORs) to generate corresponding funnel plots. We estimated the prevalence of publication bias using visual inspections and asymmetry tests. We explored the impact of publication bias using ORs adjusted for potential publication bias. Twenty-two associations were available. Our visual analysis suggested a publication bias in five out twenty-two funnel plots (23% [95%CI: 8; 45]). The Egger's test showed a significant publication bias in one (HLA-B*15:02 and phenytoin-induced Stevens-Johnson syndrome or toxic epidermal necrolysis, p = 0.03) out of nine (11% [95%CI: 0; 48]) and the Begg's test in one (HLA-B*15:02 and carbamazepine-induced serious cutaneous reactions, p = 0.02) out of ten (10% [95%CI: 0; 45]) assessable funnel plots. Adjusting for publication bias may reduce by half the ORs of the pharmacogenetics associations. Publication bias in the pharmacogenetic of antiseizure drug's AEs is not uncommon and may affect the estimation of the effect of such biomarkers. When conducting pharmacogenetic studies, it is critical to publish also the negative one.
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Affiliation(s)
- S. Bally
- Laboratoire de Biométrie et Biologie Evolutive UMR5558, Université Lyon 1, CNRS, Villeurbanne, France
| | - J. Cottin
- Service Hospitalo-Universitaire de Pharmacotoxicologie, Pôle de Santé Publique, Hospices Civils de Lyon, Lyon, France
| | - M. C. Gagnieu
- Laboratoire de Pharmacologie, Groupement Hospitalier Sud, Hospices Civils De Lyon, Lyon, France
| | - J. C. Lega
- Laboratoire de Biométrie et Biologie Evolutive UMR5558, Université Lyon 1, CNRS, Villeurbanne, France
- Service de Médecine Interne et Vasculaire, Hôpital Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - C. Verstuyft
- CESP, MOODS Team, INSERM, Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicêtre, France
- Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie de Bicêtre, Hôpitaux Universitaires Paris-Sud, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, France
| | - S. Rheims
- Department of Functional Neurology and Epileptology, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - G. Lesca
- Service de Génétique, Groupement Hospitalier Est, Hospices Civils De Lyon, Université Lyon 1, Lyon, France
| | - M. Cucherat
- Laboratoire de Biométrie et Biologie Evolutive UMR5558, Université Lyon 1, CNRS, Villeurbanne, France
- Service Hospitalo-Universitaire de Pharmacotoxicologie, Pôle de Santé Publique, Hospices Civils de Lyon, Lyon, France
| | - Guillaume Grenet
- Service Hospitalo-Universitaire de Pharmacotoxicologie, Pôle de Santé Publique, Hospices Civils de Lyon, Lyon, France
- * E-mail:
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Sloat NT, Yashar BM, Ellingrod VL, Ward KM. Assessing the impact of pre-test education on patient knowledge, perceptions, and expectations of pharmacogenomic testing to guide antidepressant use. J Genet Couns 2022; 31:1373-1382. [PMID: 35900228 DOI: 10.1002/jgc4.1612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 12/14/2022]
Abstract
Pharmacogenomic (PGx) testing is an increasingly utilized technology that offers the potential for precision drug selection to treat depression. Though PGx-guided therapy is associated with increased rates of remission of depression symptoms, for many patients, treatment will not change based on PGx testing results. Lack of consensus guidelines for pre-test counseling may hinder the communication of PGx testing limitations, and patients often have high expectations for test outcomes. To explore this issue, we created and evaluated the impact of a pre-test education video for patients with depression. Individuals in the education group (n = 198) viewed this brief video about PGx testing prior to completing a survey that explored knowledge, perception, and expectations of PGx testing developed using a theoretical framework to measure intention to test. Individuals in the survey-only group (n = 189) completed the same survey but were not provided with any PGx educational materials. Analyses demonstrate efficacy of the video in improving knowledge of PGx. The education group also reported more positive attitudes and greater perceived control over pursuing PGx testing compared to the survey-only group. Further analyses identified significant differences in expectations, attitudes, and intention to pursue PGx testing based on number of previous medication trials. Path analyses identified the best model for predicting PGx testing intention, specifically that social norms and ease of testing have a strong positive association, and knowledge has a strong negative association with patients' intentions to test across the full sample, the education group, and the survey-only group. The findings of this study serve as a foundation for future tailored educational initiatives in the PGx testing space.
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Affiliation(s)
- Nicholette T Sloat
- University of Michigan Department of Human Genetics, Ann Arbor, Michigan, USA.,Clinical Cancer Genetics, Duke University Health System, Durham, North Carolina, USA
| | - Beverly M Yashar
- University of Michigan Department of Human Genetics, Ann Arbor, Michigan, USA
| | - Vicki L Ellingrod
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Kristen M Ward
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
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Cavallari LH, Pratt VM. Building Evidence for Clinical Use of Pharmacogenomics and Reimbursement for Testing. Clin Lab Med 2022; 42:533-546. [PMID: 36368780 PMCID: PMC9896522 DOI: 10.1016/j.cll.2022.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA.
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Khan DA, Banerji A, Blumenthal KG, Phillips EJ, Solensky R, White AA, Bernstein JA, Chu DK, Ellis AK, Golden DBK, Greenhawt MJ, Horner CC, Ledford D, Lieberman JA, Oppenheimer J, Rank MA, Shaker MS, Stukus DR, Wallace D, Wang J, Khan DA, Golden DBK, Shaker M, Stukus DR, Khan DA, Banerji A, Blumenthal KG, Phillips EJ, Solensky R, White AA, Bernstein JA, Chu DK, Ellis AK, Golden DBK, Greenhawt MJ, Horner CC, Ledford D, Lieberman JA, Oppenheimer J, Rank MA, Shaker MS, Stukus DR, Wallace D, Wang J. Drug allergy: A 2022 practice parameter update. J Allergy Clin Immunol 2022; 150:1333-1393. [PMID: 36122788 DOI: 10.1016/j.jaci.2022.08.028] [Citation(s) in RCA: 184] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/18/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Affiliation(s)
- David A Khan
- Department of Internal Medicine, Division of Allergy and Immunology, University of Texas Southwestern Medical Center, Dallas, Tex
| | - Aleena Banerji
- Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, Mass
| | - Kimberly G Blumenthal
- Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, Mass
| | - Elizabeth J Phillips
- Institute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn
| | - Roland Solensky
- Corvallis Clinic, Oregon State University/Oregon Health Science University College of Pharmacy, Corvallis, Ore
| | - Andrew A White
- Department of Allergy, Asthma and Immunology, Scripps Clinic, San Diego, Calif
| | - Jonathan A Bernstein
- Department of Internal Medicine, Division of Immunology, Allergy Section, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Derek K Chu
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada; The Research Institute of St Joe's Hamilton, Hamilton, Ontario, Canada
| | - Anne K Ellis
- Division of Allergy and Immunology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - David B K Golden
- Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Matthew J Greenhawt
- Food Challenge and Research Unit Section of Allergy and Immunology, Children's Hospital Colorado University of Colorado School of Medicine, Aurora, Colo
| | - Caroline C Horner
- Department of Pediatrics, Division of Allergy Pulmonary Medicine, Washington University School of Medicine, St Louis, Mo
| | - Dennis Ledford
- Division of Allergy and Immunology, Department of Medicine, University of South Florida Morsani College of Medicine, Tampa, Fla; James A. Haley Veterans Affairs Hospital, Tampa, Fla
| | - Jay A Lieberman
- Division of Allergy and Immunology, The University of Tennessee Health Science Center, Memphis, Tenn
| | - John Oppenheimer
- Division of Allergy, Rutgers New Jersey Medical School, Rutgers, NJ
| | - Matthew A Rank
- Division of Allergy, Asthma, and Clinical Immunology, Mayo Clinic in Arizona, Scottsdale, Ariz
| | - Marcus S Shaker
- Department of Pediatrics, Dartmouth-Hitchcock Medical Center, Lebanon, NH
| | - David R Stukus
- Division of Allergy and Immunology, Nationwide Children's Hospital, Columbus, Ohio; The Ohio State University College of Medicine, Columbus, Ohio
| | - Dana Wallace
- Nova Southeastern Allopathic Medical School, Fort Lauderdale, Fla
| | - Julie Wang
- Division of Allergy and Immunology, Department of Pediatrics, The Elliot and Roslyn Jaffe Food Allergy Institute, Icahn School of Medicine at Mount Sinai, New York, NY
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Manson LEN, Chan PCY, Böhringer S, Guchelaar HJ. Genotyping for HLA risk alleles versus patch tests to diagnose anti-seizure medication induced cutaneous adverse drug reactions. Front Pharmacol 2022; 13:1061419. [PMID: 36479194 PMCID: PMC9719985 DOI: 10.3389/fphar.2022.1061419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/08/2022] [Indexed: 09/10/2024] Open
Abstract
Aim: To provide a comparison of genotyping for HLA risk alleles versus patch testing to determine which of these two tests is a better diagnostic tool for cutaneous hypersensitivity reactions caused by anti-seizure medication. Methods: A literature study was performed in PubMed to assess the sensitivity and specificity of HLA genotyping and patch tests for identifying anti-seizure medication induced cutaneous hypersensitivity reactions. Results: This study shows that HLA-B*15:02 genotyping shows high sensitivity for carbamazepine-induced SJS/TEN, especially in Han Chinese and Southeast Asian patients (66.7-100.0%) whereas the sensitivity of patch tests (0.0-62,5%), HLA-A*31:01 (0-50%) and HLA-B*15:11 (18.2-42.9%) are lower. On the contrary, for carbamazepine and phenytoin induced DRESS, patch tests (respectively 70.0-88.9% and 14.3-70.0%) show higher sensitivity than HLA tests (0-66.7% and 0-12.7%). Also for lamotrigine-induced DRESS patch tests perform better than HLA-B*15:02 (33.3-40.0 versus 0%). For anti-seizure medication induced MPE and for oxcarbazepine-induced SCARs more studies are needed. Conclusion: Use of HLA-B genotyping may aid clinicians in the diagnosis of carbamazepine, phenytoin, lamotrigine and oxcarbazepine induced SJS/TEN, particularly in Han Chinese and Southeast Asian patients. On the other hand, patch tests seem to perform better in the diagnosis of carbamazepine and phenytoin induced DRESS.
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Affiliation(s)
- Lisanne E. N. Manson
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Patricia C. Y. Chan
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Stefan Böhringer
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
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Pinzón-Espinosa J, van der Horst M, Zinkstok J, Austin J, Aalfs C, Batalla A, Sullivan P, Vorstman J, Luykx JJ. Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe. Transl Psychiatry 2022; 12:442. [PMID: 36220808 PMCID: PMC9553897 DOI: 10.1038/s41398-022-02203-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/08/2022] Open
Abstract
Genetic testing has evolved rapidly over recent years and new developments have the potential to provide insights that could improve the ability to diagnose, treat, and prevent diseases. Information obtained through genetic testing has proven useful in other specialties, such as cardiology and oncology. Nonetheless, a range of barriers impedes techniques, such as whole-exome or whole-genome sequencing, pharmacogenomics, and polygenic risk scoring, from being implemented in psychiatric practice. These barriers may be procedural (e.g., limitations in extrapolating results to the individual level), economic (e.g., perceived relatively elevated costs precluding insurance coverage), or related to clinicians' knowledge, attitudes, and practices (e.g., perceived unfavorable cost-effectiveness, insufficient understanding of probability statistics, and concerns regarding genetic counseling). Additionally, several ethical concerns may arise (e.g., increased stigma and discrimination through exclusion from health insurance). Here, we provide an overview of potential barriers for the implementation of genetic testing in psychiatry, as well as an in-depth discussion of strategies to address these challenges.
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Affiliation(s)
- Justo Pinzón-Espinosa
- Sant Pau Mental Health Group, Institut d'Investigació Biomèdica Sant Pau (IBB-Sant Pau), Hospital de la Sant Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Medicine, School of Medicine, University of Barcelona, Barcelona, Spain
- Department of Clinical Psychiatry, School of Medicine, University of Panama, Panama City, Panama
- Department of Mental Health, Parc Tauli University Hospital, Institut d'Investigació i Innovació Parc Tauli (I3PT), Sabadell, Barcelona, Spain
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marte van der Horst
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Outpatient Second Opinion Clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - Janneke Zinkstok
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry, Nijmegen, The Netherlands
| | - Jehannine Austin
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry and Medical Genetics, Genetic Counselling Training Program, University of British Columbia, Vancouver, BC, Canada
| | - Cora Aalfs
- Department of Clinical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Albert Batalla
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Patrick Sullivan
- Center for Psychiatric Genomics, Department of Genetics and Psychiatric, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Karolinska Institute, Stockholm, Sweden
| | - Jacob Vorstman
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- The Centre for Applied Genomics, Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- Outpatient Second Opinion Clinic, GGNet Mental Health, Warnsveld, The Netherlands.
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Stein DJ, Shoptaw SJ, Vigo DV, Lund C, Cuijpers P, Bantjes J, Sartorius N, Maj M. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. World Psychiatry 2022; 21:393-414. [PMID: 36073709 PMCID: PMC9453916 DOI: 10.1002/wps.20998] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Psychiatry has always been characterized by a range of different models of and approaches to mental disorder, which have sometimes brought progress in clinical practice, but have often also been accompanied by critique from within and without the field. Psychiatric nosology has been a particular focus of debate in recent decades; successive editions of the DSM and ICD have strongly influenced both psychiatric practice and research, but have also led to assertions that psychiatry is in crisis, and to advocacy for entirely new paradigms for diagnosis and assessment. When thinking about etiology, many researchers currently refer to a biopsychosocial model, but this approach has received significant critique, being considered by some observers overly eclectic and vague. Despite the development of a range of evidence-based pharmacotherapies and psychotherapies, current evidence points to both a treatment gap and a research-practice gap in mental health. In this paper, after considering current clinical practice, we discuss some proposed novel perspectives that have recently achieved particular prominence and may significantly impact psychiatric practice and research in the future: clinical neuroscience and personalized pharmacotherapy; novel statistical approaches to psychiatric nosology, assessment and research; deinstitutionalization and community mental health care; the scale-up of evidence-based psychotherapy; digital phenotyping and digital therapies; and global mental health and task-sharing approaches. We consider the extent to which proposed transitions from current practices to novel approaches reflect hype or hope. Our review indicates that each of the novel perspectives contributes important insights that allow hope for the future, but also that each provides only a partial view, and that any promise of a paradigm shift for the field is not well grounded. We conclude that there have been crucial advances in psychiatric diagnosis and treatment in recent decades; that, despite this important progress, there is considerable need for further improvements in assessment and intervention; and that such improvements will likely not be achieved by any specific paradigm shifts in psychiatric practice and research, but rather by incremental progress and iterative integration.
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Affiliation(s)
- Dan J. Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape TownCape TownSouth Africa
| | - Steven J. Shoptaw
- Division of Family MedicineDavid Geffen School of Medicine, University of California Los AngelesLos AngelesCAUSA
| | - Daniel V. Vigo
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Crick Lund
- Centre for Global Mental Health, Health Service and Population Research DepartmentInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental PsychologyAmsterdam Public Health Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Jason Bantjes
- Alcohol, Tobacco and Other Drug Research UnitSouth African Medical Research CouncilCape TownSouth Africa
| | - Norman Sartorius
- Association for the Improvement of Mental Health ProgrammesGenevaSwitzerland
| | - Mario Maj
- Department of PsychiatryUniversity of Campania “L. Vanvitelli”NaplesItaly
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48
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Seven ZGT, Özen D, Özyazgan S. Pharmacogenomic Biomarkers. Biomark Med 2022. [DOI: 10.2174/9789815040463122010014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Why does the usual dose of medication work for a person while another
individual cannot give the expected response to the same drug? On the other hand, how
come half of the usual dose of an analgesic relieves an individual’s pain immediately,
as another man continue to suffer even after taking double dose? Although a treatment
method has been successfully used in majority of the population for many years, why
does the same therapy cause serious side effects in another region of the world? Most
presently approved therapies are not effective in all patients. For example, 20-40% of
patients with depression respond poorly or not at all to antidepressant drug therapy.
Many patients are resistant to the effects of antiasthmatics and antiulcer drugs or drug
treatment of hyperlipidemia and many other diseases. The reason for all those is
basically interindividual differences in genomic structures of people, which are
explained in this chapter in terms of the systems and the most frequently used drugs in
clinical treatment.
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Affiliation(s)
- Zeynep Gizem Todurga Seven
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
| | - Deniz Özen
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
| | - Sibel Özyazgan
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
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Min F, Fan C, Zeng Y, He N, Zeng T, Qin B, Shi Y. Carbamazepine-modified HLA-A*24:02-bound peptidome: Implication of CORO1A in skin rash. Int Immunopharmacol 2022; 109:108804. [DOI: 10.1016/j.intimp.2022.108804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 04/01/2022] [Accepted: 04/24/2022] [Indexed: 11/05/2022]
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50
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Elzagallaai AA, Rieder MJ. Genetic markers of drug hypersensitivity in pediatrics: current state and promise. Expert Rev Clin Pharmacol 2022; 15:715-728. [DOI: 10.1080/17512433.2022.2100345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Abdelbaset A Elzagallaai
- Department of Paediatrics Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Physiology and Pharmacology Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Michael J Rieder
- Department of Physiology and Pharmacology Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
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